Application Security Engineer
Amazon Development Center U.S., Inc.
Cupertino, CA
**This role is open to alternative locations including: Boston, MA – Seattle, WA – Arlington, VA- Austin, TX**
Help us protect not only the Amazon Web Services (AWS) cloud computing environment but all of our customers as well! Since 2006, our great team at AWS has been enabling our customers to bring great ideas to life in ways that aren’t possible in traditional IT environments. With AWS you can flexibly harness compute, storage, security, and other services from across the globe as your business demands them. AWS Security is on the cutting edge of many security issues for a wide variety of platforms and technologies including cloud services, Internet of things (IoT), identity and access management, mobile devices, virtualization and custom hardware, all operating at massive scale.
AWS Security is looking for an Application Security Engineer to help validate that our services, applications, and websites are designed and implemented to the highest security standards. You will be responsible for analyzing the security of applications and services, discovering and addressing security issues, building security automation, and quickly reacting to new threat scenarios. You will have the opportunity to learn from, and be mentored by, those who are building and securing our cutting-edge services.
Key job responsibilities
A Security Engineer at Amazon is expected to be strong in multiple domains and provide significant contributions to the AWS IT Security team and to multiple groups throughout Amazon. Security engineers are expected to develop elegant solutions to complex business problems and apply appropriate technologies while following security engineering best practices. You are also expected to mentor more junior engineers and be a security thought leader for the organization.
A Security Engineer must foster constructive dialogue and seek resolution when confronted with discordant views. Engineers in this role are expected to participate fully in the planning of the AWS IT Security team’s work and constantly seek opportunities for process improvement. They should also have a deep understanding of at least one specialty for which they are a sought out resource (both within AWS IT Security and by groups throughout Amazon), while having an understanding of the application of Information Security in a broad range of technical areas.
A successful candidate will need a combination of troubleshooting, technical, and communication skills, as well as the ability to handle a mix of disparate tasks which may include project and software development work.
Responsibilities
• Application security reviews
• Mobile security reviews
• Secure architecture design
• Threat modeling
• Projects and research work as needed
• Security training and outreach to internal development teams
• Security guidance documentation
• Security tool development
• Security metrics delivery and improvements
• Assistance with recruiting activities and administrative work
A day in the life
As a security engineer, you will perform various day-to-day activities related to ensuring the security of Amazon's systems. These tasks may include conducting application security reviews to identify vulnerabilities in software applications that could be exploited by attackers, performing penetration testing to assess the effectiveness of existing security controls and identify potential weaknesses, providing training and outreach to internal development teams to improve their understanding of security best practices, developing security guidance documentation to help others understand how to implement secure systems and applications, developing security tools to automate or streamline security processes, delivering security metrics to stakeholders and working on improving the overall security posture of your organization. Additionally, you may also be involved in recruiting activities and administrative work related to these tasks.
About the team
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
We are open to hiring candidates to work out of one of the following locations:
Cupertino, CA, USA
Help us protect not only the Amazon Web Services (AWS) cloud computing environment but all of our customers as well! Since 2006, our great team at AWS has been enabling our customers to bring great ideas to life in ways that aren’t possible in traditional IT environments. With AWS you can flexibly harness compute, storage, security, and other services from across the globe as your business demands them. AWS Security is on the cutting edge of many security issues for a wide variety of platforms and technologies including cloud services, Internet of things (IoT), identity and access management, mobile devices, virtualization and custom hardware, all operating at massive scale.
AWS Security is looking for an Application Security Engineer to help validate that our services, applications, and websites are designed and implemented to the highest security standards. You will be responsible for analyzing the security of applications and services, discovering and addressing security issues, building security automation, and quickly reacting to new threat scenarios. You will have the opportunity to learn from, and be mentored by, those who are building and securing our cutting-edge services.
Key job responsibilities
A Security Engineer at Amazon is expected to be strong in multiple domains and provide significant contributions to the AWS IT Security team and to multiple groups throughout Amazon. Security engineers are expected to develop elegant solutions to complex business problems and apply appropriate technologies while following security engineering best practices. You are also expected to mentor more junior engineers and be a security thought leader for the organization.
A Security Engineer must foster constructive dialogue and seek resolution when confronted with discordant views. Engineers in this role are expected to participate fully in the planning of the AWS IT Security team’s work and constantly seek opportunities for process improvement. They should also have a deep understanding of at least one specialty for which they are a sought out resource (both within AWS IT Security and by groups throughout Amazon), while having an understanding of the application of Information Security in a broad range of technical areas.
A successful candidate will need a combination of troubleshooting, technical, and communication skills, as well as the ability to handle a mix of disparate tasks which may include project and software development work.
Responsibilities
• Application security reviews
• Mobile security reviews
• Secure architecture design
• Threat modeling
• Projects and research work as needed
• Security training and outreach to internal development teams
• Security guidance documentation
• Security tool development
• Security metrics delivery and improvements
• Assistance with recruiting activities and administrative work
A day in the life
As a security engineer, you will perform various day-to-day activities related to ensuring the security of Amazon's systems. These tasks may include conducting application security reviews to identify vulnerabilities in software applications that could be exploited by attackers, performing penetration testing to assess the effectiveness of existing security controls and identify potential weaknesses, providing training and outreach to internal development teams to improve their understanding of security best practices, developing security guidance documentation to help others understand how to implement secure systems and applications, developing security tools to automate or streamline security processes, delivering security metrics to stakeholders and working on improving the overall security posture of your organization. Additionally, you may also be involved in recruiting activities and administrative work related to these tasks.
About the team
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
We are open to hiring candidates to work out of one of the following locations:
Cupertino, CA, USA
Full-time
Software Development Engineer - DevOPs, Annapurna Labs
Annapurna Labs (U.S.) Inc.
Cupertino, CA
Annapurna is recruiting a DevOps engineer that will own the productivity of our team by helping us build a scalable CI/CD infrastructure for the next generation of ML products.
As a DevOps software engineer, you will design, build, and use CI/CD infrastructure while working closely with the development, product and performance teams and other stakeholders in our fast-paced, innovative environment.
You will gain a deep understanding of ML, networking fundamentals and AWS architecture while building tools for shipping, monitoring and analyzing functional and performance aspects of our software.
You’ll work with thought-leaders in multiple technology areas. You’ll have high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve our products' performance, quality and cost.
We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.
We are open to hiring candidates to work out of one of the following locations:
Cupertino, CA, USA
As a DevOps software engineer, you will design, build, and use CI/CD infrastructure while working closely with the development, product and performance teams and other stakeholders in our fast-paced, innovative environment.
You will gain a deep understanding of ML, networking fundamentals and AWS architecture while building tools for shipping, monitoring and analyzing functional and performance aspects of our software.
You’ll work with thought-leaders in multiple technology areas. You’ll have high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve our products' performance, quality and cost.
We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.
We are open to hiring candidates to work out of one of the following locations:
Cupertino, CA, USA
Full-time
SoC Device Driver Engineer, Machine Learning Accelerators
Annapurna Labs (U.S.) Inc.
Cupertino, CA
Custom silicon chips live at the heart of AWS Machine Learning servers, churning away to enable faster, more powerful, and more accurate machine learning for our customers. We’re looking for skilled engineers to scale the software team that develops the driver stack responsible for managing these cutting-edge system-on-chips (SoCs).
As a software engineer developing the SoC driver stack, you will:
Annapurna Labs, our organization within AWS, designs and deploys some of the largest custom silicon in the world, with many subsystems that must all be managed, tested, and monitored. The SoC drivers are a critical piece of the software stack that ensure the chip is functional, performant, and secure.
You will thrive in this role if you:
Although we build machine learning chips, no machine learning background is needed for this role. You (and your software) won’t be doing machine learning, but you'll also have plenty of opportunities to pick up ML concepts from colleagues, if you so desire.
This role can be based in either Cupertino, CA or Austin, TX. The team is split between the two sites, with no preference for one over the other.
This is a fast-paced role where you'll work with thought-leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your software, as well as our products' overall performance, quality, and cost.
We're changing an industry. We're searching for individuals who are ready for this challenge, who want to reach beyond what is possible today. Come join us and build the future of machine learning!
Working at AWS
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
We’re continuously looking to improve ourselves as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources within AWS to help you develop into a better-rounded professional.
As Amazonians, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
About the team
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
As a software engineer developing the SoC driver stack, you will:
- Work with hardware designers to write drivers for newly developed hardware modules
- Refactor and maintain existing codebases throughout the device lifecycle
- Continuously test and deploy your software stack to multiple internal customers
- Innovate on the tooling you provide to customers, making it easier for them to use the SoC
Annapurna Labs, our organization within AWS, designs and deploys some of the largest custom silicon in the world, with many subsystems that must all be managed, tested, and monitored. The SoC drivers are a critical piece of the software stack that ensure the chip is functional, performant, and secure.
You will thrive in this role if you:
- Are familiar with modular driver architectures (such as the Linux or Windows driver stacks)
- Are proficient in C++ and familiar with Python
- Know how to build effective abstractions over low-level SoC details
- Have strong opinions about software architecture, and are able to apply them effectively
- Enjoy learning new technologies and working closely with colleagues as part of a small team within a large organization
Although we build machine learning chips, no machine learning background is needed for this role. You (and your software) won’t be doing machine learning, but you'll also have plenty of opportunities to pick up ML concepts from colleagues, if you so desire.
This role can be based in either Cupertino, CA or Austin, TX. The team is split between the two sites, with no preference for one over the other.
This is a fast-paced role where you'll work with thought-leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your software, as well as our products' overall performance, quality, and cost.
We're changing an industry. We're searching for individuals who are ready for this challenge, who want to reach beyond what is possible today. Come join us and build the future of machine learning!
Working at AWS
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
We’re continuously looking to improve ourselves as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources within AWS to help you develop into a better-rounded professional.
As Amazonians, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
About the team
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
Full-time
Sr. Security Engineer, AWS Security Vulnerability Management
Amazon Dev Center U.S., Inc.
Cupertino, CA
This position is located in Cupertino, CA. Amazon Web Services (AWS) Security is looking for a passionate, innovative, and motivated Security Engineer for the AWS Security Vulnerability Management team. Come and join a creative, diverse, and collaborative team that is changing how we think about security! At AWS, security is job zero, and our team is responsible for inventing new security services that enable and automate security solutions at AWS’ unprecedented scale. We are data-driven, set big goals, and are always challenging ourselves raise the security bar at AWS.
This role reports directly to the organization's Director and offers broad impact and visibility. You will help raise the technical bar for our most strategic programs across the AWS Vulnerability Management domain. As a Security Engineer with our team, you will dig in to our customers' most difficult requests, identify security risks, analyze and process big data, partner to build and improve tools that will improve our builders' experience with security. Our programs stretch across all of AWS, giving you the opportunity to interact with product teams, industry specialists, security partners, and organization leaders.
Our programs and services protect the AWS cloud for all customers and preserve our customers’ trust in us. You’ll get to use the full power and breadth of AWS technologies to build services that protect every single AWS customer, both internally and externally, from security threats – not many teams can say that!
Key job responsibilities
Who you are: You are a creative, collaborative person who likes to be close to the details. You like to get inside technology, understanding how things work, when to make subtle change, and when to disrupt the status quo to achieve the right results. You’re someone who prioritizes effectively and often.
* Build and implement solutions to identify software based risks in AWS services.
* Perform vulnerability and impact assessments taking into account base, temporal, and environmental factors.
* Query, analyze, and report on large datasets.
* Work with a team of software and security engineers that design, build, and own software solutions that solve complex security challenges for AWS and our customers.
What you will do: You'll leverage your knowledge in multiple domains to investigate, understand, develop, and deliver elegant solutions to complex security questions. You'll bring your high standards, applying the right technologies while following security engineering best practices. You will be a security thought leader for our team and AWS Security, owning a set of long-term security outcomes. You're also someone who will be setting the bar high for your colleagues, serving as a mentor to your teammates.
A day in the life
Who we are: AWS Security is on the cutting edge of many security issues for a wide variety of platforms and technologies including cloud services, Internet of things (IoT), identity and access management, mobile devices, virtualization and custom hardware, all operating at massive scale.
* Diving into large datasets to identify potential risks.
* Perform severity assessments of software vulnerabilities.
* Work with software builders to apply environmental context against findings to adjust risk scores.
* Implement automation to improve operational throughput and efficiency.
* Work with partner teams to propose and implement functionality to reduce risks at scale.
About the team
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
This role reports directly to the organization's Director and offers broad impact and visibility. You will help raise the technical bar for our most strategic programs across the AWS Vulnerability Management domain. As a Security Engineer with our team, you will dig in to our customers' most difficult requests, identify security risks, analyze and process big data, partner to build and improve tools that will improve our builders' experience with security. Our programs stretch across all of AWS, giving you the opportunity to interact with product teams, industry specialists, security partners, and organization leaders.
Our programs and services protect the AWS cloud for all customers and preserve our customers’ trust in us. You’ll get to use the full power and breadth of AWS technologies to build services that protect every single AWS customer, both internally and externally, from security threats – not many teams can say that!
Key job responsibilities
Who you are: You are a creative, collaborative person who likes to be close to the details. You like to get inside technology, understanding how things work, when to make subtle change, and when to disrupt the status quo to achieve the right results. You’re someone who prioritizes effectively and often.
* Build and implement solutions to identify software based risks in AWS services.
* Perform vulnerability and impact assessments taking into account base, temporal, and environmental factors.
* Query, analyze, and report on large datasets.
* Work with a team of software and security engineers that design, build, and own software solutions that solve complex security challenges for AWS and our customers.
What you will do: You'll leverage your knowledge in multiple domains to investigate, understand, develop, and deliver elegant solutions to complex security questions. You'll bring your high standards, applying the right technologies while following security engineering best practices. You will be a security thought leader for our team and AWS Security, owning a set of long-term security outcomes. You're also someone who will be setting the bar high for your colleagues, serving as a mentor to your teammates.
A day in the life
Who we are: AWS Security is on the cutting edge of many security issues for a wide variety of platforms and technologies including cloud services, Internet of things (IoT), identity and access management, mobile devices, virtualization and custom hardware, all operating at massive scale.
* Diving into large datasets to identify potential risks.
* Perform severity assessments of software vulnerabilities.
* Work with software builders to apply environmental context against findings to adjust risk scores.
* Implement automation to improve operational throughput and efficiency.
* Work with partner teams to propose and implement functionality to reduce risks at scale.
About the team
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
Full-time
Sr Software Engineer - Machine Learning Engineer, AWS Neuron
Annapurna Labs (U.S.) Inc.
Cupertino, CA
We are looking for a Software Development Engineer to join the AWS Neuron team – the software that empowers the AWS Inferentia-based Inf1 and Trainium-based Trn1 instances. This role is for engineers who take pride in tackling hardest challenges, excel at working in an agile environment, and are excited about accelerating workloads on the Inferentia and Trainium hardware.
You will work with the ML Applications team that develops features using Python and C++ across multiple frameworks like Tensorflow, MXNet and PyTorch. You will interact with a diverse team of AWS solution architects, customer representative, complier and hardware engineers to optimize and deliver cost-effective and performant solutions on the AWS Inferentia and Trainium architecture (for example: [url=https://github.com/aws/aws-neuron-sdk/]https://github.com/aws/aws-neuron-sdk/[/url])
About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
A day in the life
Machine Learning Engineers are specialized software engineers. Amazon Machine Learning Engineers will:
• Design, build, and test ML frameworks and libraries features on behalf of customers.
• Work with product management teams to define product features and roadmaps.
• Investigate and drive new features teams may want to implement.
• Build and maintain continuous integration pipelines for delivery of features.
• Run benchmarks to compare performance and accuracy across different models and platforms.
• Work with other teams such as compiler and runtime teams to improve performance and accuracy of the products.
• Create and maintain documentation for customers.
• Resolve customer issues encountered while using products.
We are open to hiring candidates to work out of one of the following locations:
Cupertino, CA, USA
You will work with the ML Applications team that develops features using Python and C++ across multiple frameworks like Tensorflow, MXNet and PyTorch. You will interact with a diverse team of AWS solution architects, customer representative, complier and hardware engineers to optimize and deliver cost-effective and performant solutions on the AWS Inferentia and Trainium architecture (for example: [url=https://github.com/aws/aws-neuron-sdk/]https://github.com/aws/aws-neuron-sdk/[/url])
About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
A day in the life
Machine Learning Engineers are specialized software engineers. Amazon Machine Learning Engineers will:
• Design, build, and test ML frameworks and libraries features on behalf of customers.
• Work with product management teams to define product features and roadmaps.
• Investigate and drive new features teams may want to implement.
• Build and maintain continuous integration pipelines for delivery of features.
• Run benchmarks to compare performance and accuracy across different models and platforms.
• Work with other teams such as compiler and runtime teams to improve performance and accuracy of the products.
• Create and maintain documentation for customers.
• Resolve customer issues encountered while using products.
We are open to hiring candidates to work out of one of the following locations:
Cupertino, CA, USA
Full-time
Sr. Technical/Engineering Program Manager , AWS Neuron
Annapurna Labs (U.S.) Inc.
Cupertino, CA
AWS Neuron is the team that delivers the software that powers the Inferentia and Trainium-based Inf1, Inf2, Trn1 an Trn1n families of Machine Learning Accelerated EC2 instances. We build a Compiler , Drivers, Runtime and a fully integrated suite of Pytorch and Tensorflow stacks, providing the highest-scale, distributed Training and Inference servers available. We deliver the solutions powering many of Amazon and Amazon customers largest Machine Learning services.
We're seeking a Senior Engineering Program Manager for the AWS Neuron team. In this role you will be responsible for scoping and delivering large projects end-to-end. Responsibilities include collection of business and systems requirements from internal and external customers, writing specifications, driving project schedules from design to release, and managing the production launch. You will lead and coordinate design/implementation efforts between Neuron, internal teams and external customers and partners to develop optimal solutions for new features, verticals, and markets. You will be expected to make appropriate tradeoffs to optimize time-to-market, clearly communicate goals, roles, responsibilities, and desired outcomes to internal cross-functional and remote project teams.
The right candidate will possess a strong technical and program management background, will have demonstrated experience leading medium to large projects, and will have a well-rounded technical background in current audio device technologies. You must be able to thrive and succeed in an entrepreneurial environment, and not be hindered by ambiguity or competing priorities. This means you are not only able to develop and drive high-level strategic initiatives, but can also roll up your sleeves, dig in and get the job done.
As a Senior TPM, you will anticipate bottlenecks, provide escalation management, anticipate and make trade-offs, and balance the business needs versus technical constraints. An ability to take large, complex projects and break them down into manageable pieces, develop functional specifications, then deliver them in a timely manner.
In this role you will:
· Drive execution of projects
· Provide technical direction with limited assistance
· Lead cross functional project meetings
· Lead milestone reviews
· Present project status to the executive team
· Manage project builds globally
Key job responsibilities
Work with Engineering leadership, Product Management, and Business Development to help define requirements and roadmaps, work with Engineering leadership to drive efficiencies in engineering development and ensure the right things are delivered to Customers at the right time. We work like a startup - moving fast and building new things.
We're seeking a Senior Engineering Program Manager for the AWS Neuron team. In this role you will be responsible for scoping and delivering large projects end-to-end. Responsibilities include collection of business and systems requirements from internal and external customers, writing specifications, driving project schedules from design to release, and managing the production launch. You will lead and coordinate design/implementation efforts between Neuron, internal teams and external customers and partners to develop optimal solutions for new features, verticals, and markets. You will be expected to make appropriate tradeoffs to optimize time-to-market, clearly communicate goals, roles, responsibilities, and desired outcomes to internal cross-functional and remote project teams.
The right candidate will possess a strong technical and program management background, will have demonstrated experience leading medium to large projects, and will have a well-rounded technical background in current audio device technologies. You must be able to thrive and succeed in an entrepreneurial environment, and not be hindered by ambiguity or competing priorities. This means you are not only able to develop and drive high-level strategic initiatives, but can also roll up your sleeves, dig in and get the job done.
As a Senior TPM, you will anticipate bottlenecks, provide escalation management, anticipate and make trade-offs, and balance the business needs versus technical constraints. An ability to take large, complex projects and break them down into manageable pieces, develop functional specifications, then deliver them in a timely manner.
In this role you will:
· Drive execution of projects
· Provide technical direction with limited assistance
· Lead cross functional project meetings
· Lead milestone reviews
· Present project status to the executive team
· Manage project builds globally
Key job responsibilities
Work with Engineering leadership, Product Management, and Business Development to help define requirements and roadmaps, work with Engineering leadership to drive efficiencies in engineering development and ensure the right things are delivered to Customers at the right time. We work like a startup - moving fast and building new things.
Full-time
Executive Assistant, Annapurna Labs/AWS
Annapurna Labs (U.S.) Inc.
Cupertino, CA
Annapurna Labs, Inc, the silicon innovation arm of Amazon Web Services, is seeking an exceptionally bright, multitasking and self-motivated individual to support our growing US organization. This exciting role requires superior attention to detail, the ability to meet tight deadlines, great organizational skills, and the ability to juggle multiple critical requests. A high level of integrity and discretion in handling confidential information, and professionalism in dealing with senior professionals inside and outside the company is important. The successful candidate will possess the ability to handle complex scheduling of meetings, travel, events, and tasks across multiple groups with little to no guidance, and with the abilility to operate successfully in ambiguity.
Key job responsibilities
• Supporting the leadership team across sites, as well as partial support for Directors across sites
• Proactively coordinate and engage with leadership in planning and organizing events, activities and calendars
• Manage complex calendar and scheduling requirements; ability to work with other assistants
• Act as a liaison for the team across Annapurna sites, especial attention to time-zones and global holidays
• Drive key team activities, such as staff meeting agendas, all-hands meetings, and customer engagements
• Manage group logistics, travel, and expense reporting
Key job responsibilities
• Supporting the leadership team across sites, as well as partial support for Directors across sites
• Proactively coordinate and engage with leadership in planning and organizing events, activities and calendars
• Manage complex calendar and scheduling requirements; ability to work with other assistants
• Act as a liaison for the team across Annapurna sites, especial attention to time-zones and global holidays
• Drive key team activities, such as staff meeting agendas, all-hands meetings, and customer engagements
• Manage group logistics, travel, and expense reporting
Full-time
Sr. Product Manager
Amazon Development Center U.S., Inc.
Cupertino, CA
**This role is open to alternative locations including: Seattle, WA - Herndon, VA – Arlington, VA - New York, NY**
We are seeking a talented Sr. Product Manager to lead a growing portfolio of products that automatically detect security issues. Our mission is to ensure all AWS services are secure and meet our customers' expectations. This is a high impact leadership position where you will enable AWS service teams to efficiently meet the security bar.
AWS Security holds a high security bar which is instantiated as a set of controls that are continuously monitored by our products. Our products evaluate application programming interfaces, code and all types of resources. It is more than detection of issue with equal focus given to preventing the introduction of issue and rapid remediation for a complete life cycle view.
A successful candidate will demonstrate proven product management skills with experience understanding customer needs, building roadmaps and launching features that deliver value for large scale enterprise systems. The candidate will be comfortable managing competing priorities and be able to bring clarity and order to ambiguous scenarios. The ideal candidate will have experience delivering services for use by builders. Exemplary written and verbal communication skills are important, as the candidate will frequently work with leadership and colleagues that cross organizational boundaries.
Key job responsibilities
- Understand customer and stakeholder needs
- Analyze quantitative and qualitative data to support planning and prioritization
- Collaborate with software development teams to design, scope, build and launch features
- Build, maintain and communicate the product roadmap
- Balance competing priorities and make decisions that accelerate the team's velocity
About the team
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
We are open to hiring candidates to work out of one of the following locations:
Cupertino, CA, USA
We are seeking a talented Sr. Product Manager to lead a growing portfolio of products that automatically detect security issues. Our mission is to ensure all AWS services are secure and meet our customers' expectations. This is a high impact leadership position where you will enable AWS service teams to efficiently meet the security bar.
AWS Security holds a high security bar which is instantiated as a set of controls that are continuously monitored by our products. Our products evaluate application programming interfaces, code and all types of resources. It is more than detection of issue with equal focus given to preventing the introduction of issue and rapid remediation for a complete life cycle view.
A successful candidate will demonstrate proven product management skills with experience understanding customer needs, building roadmaps and launching features that deliver value for large scale enterprise systems. The candidate will be comfortable managing competing priorities and be able to bring clarity and order to ambiguous scenarios. The ideal candidate will have experience delivering services for use by builders. Exemplary written and verbal communication skills are important, as the candidate will frequently work with leadership and colleagues that cross organizational boundaries.
Key job responsibilities
- Understand customer and stakeholder needs
- Analyze quantitative and qualitative data to support planning and prioritization
- Collaborate with software development teams to design, scope, build and launch features
- Build, maintain and communicate the product roadmap
- Balance competing priorities and make decisions that accelerate the team's velocity
About the team
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
We are open to hiring candidates to work out of one of the following locations:
Cupertino, CA, USA
Full-time
Software Engineer - Machine Learning, AWS Neuron
Annapurna Labs (U.S.) Inc.
Cupertino, CA
We are looking for a Software Development Engineer to join the AWS Neuron team – the software that empowers the AWS Inferentia-based Inf1 and Trainium-based Trn1 instances. This role is for engineers who take pride in tackling hardest challenges, excel at working in an agile environment, and are excited about accelerating workloads on the Inferentia and Trainium hardware.
You will work with the ML Applications team that develops features using Python and C++ across multiple frameworks like Tensorflow, MXNet and PyTorch. You will interact with a diverse team of AWS solution architects, customer representative, complier and hardware engineers to optimize and deliver cost-effective and performant solutions on the AWS Inferentia and Trainium architecture (for example: https://github.com/aws/aws-neuron-sdk/)
About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
You will work with the ML Applications team that develops features using Python and C++ across multiple frameworks like Tensorflow, MXNet and PyTorch. You will interact with a diverse team of AWS solution architects, customer representative, complier and hardware engineers to optimize and deliver cost-effective and performant solutions on the AWS Inferentia and Trainium architecture (for example: https://github.com/aws/aws-neuron-sdk/)
About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
Full-time
Machine Learning Engineer II, AWS Neuron, Annapurna Labs
Annapurna Labs (U.S.) Inc.
Cupertino, CA
We are looking for a Machine Learning Engineer II to join the AWS Neuron team – the software that empowers the AWS Inferentia-based Inf1 and Trainium-based Trn1 instances.
You will work with the ML Applications team that develops features using Python and C++ across multiple frameworks like Tensorflow, MXNet and PyTorch. You will also interact with a diverse team of AWS solution architects, customer representative, complier and hardware engineers to optimize and deliver cost-effective and performant solutions on the AWS Inferentia and Trainium architecture (for example: https://github.com/aws/aws-neuron-sdk/)
This role is for engineers who take pride in tackling hardest challenges, excel at working in an agile environment, and are excited about accelerating workloads on the Inferentia and Trainium hardware.
We encourage you to apply if you have:
-3+ years of non-internship professional software development experience
-2+ years experience working with deep learning
-Experience with Pytorch and/or Tensorflow
-Familiarity with distributed computation and hardware acceleration
**Applicants for this role can be located in Cupertino, CA, Austin, TX or Seattle, WA**
About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
You will work with the ML Applications team that develops features using Python and C++ across multiple frameworks like Tensorflow, MXNet and PyTorch. You will also interact with a diverse team of AWS solution architects, customer representative, complier and hardware engineers to optimize and deliver cost-effective and performant solutions on the AWS Inferentia and Trainium architecture (for example: https://github.com/aws/aws-neuron-sdk/)
This role is for engineers who take pride in tackling hardest challenges, excel at working in an agile environment, and are excited about accelerating workloads on the Inferentia and Trainium hardware.
We encourage you to apply if you have:
-3+ years of non-internship professional software development experience
-2+ years experience working with deep learning
-Experience with Pytorch and/or Tensorflow
-Familiarity with distributed computation and hardware acceleration
**Applicants for this role can be located in Cupertino, CA, Austin, TX or Seattle, WA**
About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
Full-time
Annapurna Labs-SDET, Annapurna Labs
Annapurna Labs (U.S.) Inc.
Cupertino, CA
AWS Inferentia is Amazon's first custom silicon designed to accelerate deep learning workloads in the cloud. Powered by AWS Neuron, an SDK with infrastructure and profiling tools, enables complex neural net models, created and trained in popular frameworks such as TensorFlow, PyTorch, and MXNet, to be executed using Inferentia-based Inf1 instances.
We’re hiring software engineers for the Inferentia-accelerated Deep Learning Team to help customers easily migrate their ML applications to Neuron and run high-performance search recommendation, computer vision, speech recognition, personalization, fraud detection, and natural language processing models with Inferentia.
As part of the team, you'll be building highly visible, robust automation tools and to tackle hard to solve problems. Working backwards from customer needs, you will identify the right sets of tools to build to achieve the best quality and customer experience. You will drive test automation efforts for critical and complex technical projects spanning multiple teams and Amazon businesses. You will be responsible for driving improvements in test tools, test environments and reporting mechanisms as well as influence the implementation of the right solutions.
You will also be owning the design and code modules for infrastructure, application, and processes to help us build the Machine Learning training and inference platforms.
About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
We’re hiring software engineers for the Inferentia-accelerated Deep Learning Team to help customers easily migrate their ML applications to Neuron and run high-performance search recommendation, computer vision, speech recognition, personalization, fraud detection, and natural language processing models with Inferentia.
As part of the team, you'll be building highly visible, robust automation tools and to tackle hard to solve problems. Working backwards from customer needs, you will identify the right sets of tools to build to achieve the best quality and customer experience. You will drive test automation efforts for critical and complex technical projects spanning multiple teams and Amazon businesses. You will be responsible for driving improvements in test tools, test environments and reporting mechanisms as well as influence the implementation of the right solutions.
You will also be owning the design and code modules for infrastructure, application, and processes to help us build the Machine Learning training and inference platforms.
About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
Full-time
Senior Software Development Engineer, Annapurna Labs
Annapurna Labs (U.S.) Inc.
Cupertino, CA
Annapurna Labs is an integral part of AWS and develops HW and SW components that are critical building blocks for EC2 infrastructure. We specialize in designing semi-conductors, systems, chips, and software that optimize the AWS customer experience.
More and more customers run their HPC and ML workloads on AWS to reap the benefits of elasticity and flexibility of the cloud. We work on building networking solutions (Elastic Fabric Adapter) to improve network speed and performance so that customers can scale their network intensive HPC and ML workloads over thousands of CPUs and GPUs and get blazing fast performance.
We are seeking an experienced engineer with HPC interconnects background preferably in ML domain, with good understanding of collective operations and networking (RDMA networking preferred). The ideal candidate will also have a deep understanding of computer architecture and operating systems (Linux especially), while being comfortable in server and embedded environments and programming sophisticated embedded devices for AWS.
About the team
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
More and more customers run their HPC and ML workloads on AWS to reap the benefits of elasticity and flexibility of the cloud. We work on building networking solutions (Elastic Fabric Adapter) to improve network speed and performance so that customers can scale their network intensive HPC and ML workloads over thousands of CPUs and GPUs and get blazing fast performance.
We are seeking an experienced engineer with HPC interconnects background preferably in ML domain, with good understanding of collective operations and networking (RDMA networking preferred). The ideal candidate will also have a deep understanding of computer architecture and operating systems (Linux especially), while being comfortable in server and embedded environments and programming sophisticated embedded devices for AWS.
About the team
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
Full-time