Sr. Software Development Engineer, Annapurna Labs
Amazon.com
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.
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.
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.
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!
A day in the life
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.
About the team
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.
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.
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.
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!
A day in the life
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.
About the team
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.
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