EFA Network Software Engineer, EFA Software Team

Amazon; Seattle (WA); On-site; USD 129,000 - 224,000; Full time

Job summary

Amazon is seeking an EFA Network Software Engineer to enhance high-performance computing and machine learning capabilities in the cloud. Join a fast-paced team dedicated to creating cutting-edge networking solutions, focusing on performance and customer needs. Responsibilities include coding in C for various open-source projects and collaborating with infrastructure teams to optimize software performance across extensive machine clusters.

Qualifications

• 3+ years of non-internship software development experience.
• 2+ years of design or architecture experience.
• Experience developing in network software stack.

Responsibilities

• Write high-performance code in C for open source projects like Libfabric and Open MPI.
• Invent new APIs for advanced networking concepts.
• Provide expert-level support to AI industry leaders.

Skills

High-performance software programming in C

Design patterns

Reliability and scaling

Education

Bachelor's degree in computer science or equivalent

Job description

EFA Network Software Engineer, EFA Software Team

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 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 . This position will remain posted until filled. Applicants should apply via our internal or external career site.

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.