Software Development Engineer II, EFA Network - Annapurna Labs
Amazon
Seattle, Washington
Posted 2 weeks ago
Responsibilities
Primary Duties
- You will write the highest-performing code in C for multiple open source projects supporting EFA, such as Libfabric and Open MPI.
- You will work with multiple teams in the stack to invent new APIs for the latest concepts in networking in the cloud.
- Dive deep into how your customers are doing collectives and messaging at high bandwidth and low latency.
- Provide expert-level support to some of the biggest names in AI in the world.
Full Job Description
Join Us To Innovate Machine Learning In The Cloud
Want to help make the next generation of machine learning in the cloud possible? Do you have a laser focus on performance in your code? We want to talk to you! We own the user-space software that makes the Elastic Fabric Adapter (EFA) network card work for machine learning (ML) and high-performance computing (HPC) customers on AWS. Across multiple projects written in C, our team enables customers to network thousands of GPU and CPU instance types to handle the toughest clustered workloads.
Be a part of a dynamic, fast-paced group that has a big impact every day on the hottest companies doing AI and HPC today.
Key Job Responsibilities
You will write the highest-performing code in C for multiple open source projects supporting EFA, such as Libfabric and Open MPI. You will work with multiple teams in the stack to invent new APIs for the latest concepts in networking in the cloud. Dive deep into how your customers are doing collectives and messaging at high bandwidth and low latency. Provide expert-level support to some of the biggest names in AI in the world.
A Day In The Life
Start from the needs of your customer and invent new ways of cutting the occupancy of the software stack for EFA. Get your peers and stakeholders on board with excellent written designs. Write comprehensive tests to drive the development of new features and guard against regressions. Work with our ML Infrastructure team to see your products perform on 100s and 1000s of top-end machine clusters.
About The Team
We are a fast-paced team that owns the user-space software stack for EFA. As part of Annapurna Labs in AWS we are very nimble, paying careful attention to what the AI industry is going to try next, and having our products ready. We focus heavily on automation, confining operations to the most interesting problems as customers continuously experiment with what our network can do. Our team is a place of growth, concentrating on your career and goals and motivating you to achieve your highest potential.
Want to help make the next generation of machine learning in the cloud possible? Do you have a laser focus on performance in your code? We want to talk to you! We own the user-space software that makes the Elastic Fabric Adapter (EFA) network card work for machine learning (ML) and high-performance computing (HPC) customers on AWS. Across multiple projects written in C, our team enables customers to network thousands of GPU and CPU instance types to handle the toughest clustered workloads.
Be a part of a dynamic, fast-paced group that has a big impact every day on the hottest companies doing AI and HPC today.
Key Job Responsibilities
You will write the highest-performing code in C for multiple open source projects supporting EFA, such as Libfabric and Open MPI. You will work with multiple teams in the stack to invent new APIs for the latest concepts in networking in the cloud. Dive deep into how your customers are doing collectives and messaging at high bandwidth and low latency. Provide expert-level support to some of the biggest names in AI in the world.
A Day In The Life
Start from the needs of your customer and invent new ways of cutting the occupancy of the software stack for EFA. Get your peers and stakeholders on board with excellent written designs. Write comprehensive tests to drive the development of new features and guard against regressions. Work with our ML Infrastructure team to see your products perform on 100s and 1000s of top-end machine clusters.
About The Team
We are a fast-paced team that owns the user-space software stack for EFA. As part of Annapurna Labs in AWS we are very nimble, paying careful attention to what the AI industry is going to try next, and having our products ready. We focus heavily on automation, confining operations to the most interesting problems as customers continuously experiment with what our network can do. Our team is a place of growth, concentrating on your career and goals and motivating you to achieve your highest potential.
How to Apply
Amazon
About
Founded by Jeff Bezos in 1994, Amazon started as an online bookstore and has grown into a global e-commerce and tech powerhouse. Known for its Prime services, Alexa devices, and AWS cloud computing, A...
$90
/ hour
Amazon pays $90 for Software Engineer in Seattle, Washington, with most salaries ranging from $70 to $121. Pay can vary based on role, experience, and local cost of living.
Median
$90
Low
$70
High
$121
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