We are seeking an experienced software engineer with low-level latency networking or interconnect expertise to optimize customer experience by designing systems that enable scaling network-intensive workloads over thousands of CPUs, GPUs, and TPUs. This role is on the forefront of AI/ML, we spend a good deal of the day optimizing the networking for the latest AI workload such as LLMs.
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.
Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.
Our ideal candidate will have extensive experience in low-latency networking and collective operations, such as HPC network fabric or machine learning accelerator cluster systems. Also applicable is experience high-frequency trading networking, high-speed wireless networking, or low latency interconnects such as PCIe or CXL. Proficiency in C/C++ and a deep understanding of Linux and kernel-level programming are essential. Strong problem-solving skills and the ability to troubleshoot complex networking issues are required, along with excellent communication skills to work effectively in a collaborative team environment.
A day in the life
Annapurna Labs, a crucial part of AWS, is responsible for developing hardware and software components for EC2 infrastructure. Our team focuses on building networking solutions that for Machine Learning (ML) and High-Performance Computing (HPC) workloads on AWS.
Working at Annapurna Labs means engaging with a diverse and inclusive team culture that embraces differences and fosters a sense of belonging. You will participate in innovative learning experiences and benefit offerings, such as the CORE and AmazeCon conferences. Your day will involve designing and optimizing networking solutions, collaborating with cross-functional teams, and engaging with customers to gather feedback and continuously improve our offerings. Our team places a high value on work-life balance, believing in establishing a flow that energizes both personal and professional life.
We offer flexible working hours and encourage you to find a balance that suits you, ensuring long-term happiness and fulfillment. It’s not about the number of hours spent at work or home but about creating a harmonious balance that enhances both aspects of your life. We are dedicated to supporting new team members with a mix of experience levels and tenures, fostering an environment of knowledge sharing and mentorship. Our commitment to your career growth includes assigning projects that help you develop into a well-rounded professional capable of taking on more complex tasks in the future. Join us at Annapurna Labs and be part of a team that is shaping the future of networking solutions for ML and HPC workloads on AWS!
The Elastic Collectives team builds out the collective operations layer in the Trainium and Nvidia stack for distributed machine learning. In any day, we are designing new algorithms, hunting for performance bottlenecks, and optimizing a customers heavy ML/AI workloads. You will be working with principal and senior principal engineers on a daily basis.
This team is critical in AI at Amazon. Every customers that uses AWS for large models training and inference will be using your software, and the performance matters. If you want to make an impact in the AI industry - this is a good team for it.
About the team
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 and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
About AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, 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.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.
Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.
Our ideal candidate will have extensive experience in low-latency networking and collective operations, such as HPC network fabric or machine learning accelerator cluster systems. Also applicable is experience high-frequency trading networking, high-speed wireless networking, or low latency interconnects such as PCIe or CXL. Proficiency in C/C++ and a deep understanding of Linux and kernel-level programming are essential. Strong problem-solving skills and the ability to troubleshoot complex networking issues are required, along with excellent communication skills to work effectively in a collaborative team environment.
A day in the life
Annapurna Labs, a crucial part of AWS, is responsible for developing hardware and software components for EC2 infrastructure. Our team focuses on building networking solutions that for Machine Learning (ML) and High-Performance Computing (HPC) workloads on AWS.
Working at Annapurna Labs means engaging with a diverse and inclusive team culture that embraces differences and fosters a sense of belonging. You will participate in innovative learning experiences and benefit offerings, such as the CORE and AmazeCon conferences. Your day will involve designing and optimizing networking solutions, collaborating with cross-functional teams, and engaging with customers to gather feedback and continuously improve our offerings. Our team places a high value on work-life balance, believing in establishing a flow that energizes both personal and professional life.
We offer flexible working hours and encourage you to find a balance that suits you, ensuring long-term happiness and fulfillment. It’s not about the number of hours spent at work or home but about creating a harmonious balance that enhances both aspects of your life. We are dedicated to supporting new team members with a mix of experience levels and tenures, fostering an environment of knowledge sharing and mentorship. Our commitment to your career growth includes assigning projects that help you develop into a well-rounded professional capable of taking on more complex tasks in the future. Join us at Annapurna Labs and be part of a team that is shaping the future of networking solutions for ML and HPC workloads on AWS!
The Elastic Collectives team builds out the collective operations layer in the Trainium and Nvidia stack for distributed machine learning. In any day, we are designing new algorithms, hunting for performance bottlenecks, and optimizing a customers heavy ML/AI workloads. You will be working with principal and senior principal engineers on a daily basis.
This team is critical in AI at Amazon. Every customers that uses AWS for large models training and inference will be using your software, and the performance matters. If you want to make an impact in the AI industry - this is a good team for it.
About the team
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 and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
About AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, 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.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.