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. Basic Qualifications: - 3+ years of
non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns,
reliability and scaling) of new and existing systems experience
- 3+ years of professional experience programming high-performance software in
C, ideally as part of an Open Source project Preferred Qualifications: - 3+
years of full software development life cycle, including coding standards, code
reviews, source control management, build processes, testing, and operations
experience
- Bachelor's degree in computer science or equivalent
- Experience developing in a network software stack, with a focus on cutting
occupancy to the barest minimum number of instructions
Amazon is an equal opportunity employer and does not discriminate on the basis
of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our
customers. If you have a disability and need a workplace accommodation or
adjustment during the application and hiring process, including support for the
interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations
[https://amazon.jobs/content/en/how-we-hire/accommodations] for more
information. If the country/region you’re applying in isn’t listed, please
contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic
markets. The base pay for this position ranges from $129,300/year in our lowest
geographic market up to $223,600/year in our highest geographic market. Pay is
based on a number of factors including market location and may vary depending on
job-related knowledge, skills, and experience. Amazon is a total compensation
company. Dependent on the position offered, equity, sign-on payments, and other
forms of compensation may be provided as part of a total compensation package,
in addition to a full range of medical, financial, and/or other benefits. For
more information, please visit
https://www.aboutamazon.com/workplace/employee-benefits
[https://www.aboutamazon.com/workplace/employee-benefits]. This position will
remain posted until filled. Applicants should apply via our internal or external
career site.