Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training

Amazon; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

An established industry player is seeking a Senior Software Engineer specializing in AI/ML to join their innovative team. In this role, you will work on cutting-edge cloud computing solutions, focusing on the development and performance tuning of machine learning models. Collaborating with chip architects and engineers, you will help build distributed training solutions that optimize efficiency and performance. This role offers an opportunity to mentor junior engineers and contribute to a diverse and inclusive workplace that values knowledge-sharing and career growth. If you are passionate about technology and eager to make a difference, this position is perfect for you.

Qualifications

• 5+ years of software development experience and strong ML knowledge.
• Experience mentoring and leading engineering teams is essential.

Responsibilities

• Lead efforts in building distributed training and inference support.
• Tune models for performance on AWS Trainium and Inferentia.

Skills

Software Development

Machine Learning

Python

Distributed Training

Mentorship

Design Patterns

System Architecture

Education

Bachelor's degree in Computer Science

Tools

Pytorch

Tensorflow

Jax

XLA

Job description

Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training

AWS Utility Computing (UC) provides 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, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cutting-edge cloud computing offerings across the AWS portfolio.

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.

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. This role is for a senior software engineer in the Machine Learning Applications (ML Apps) team for AWS Neuron. This role is responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive scale large language models like GPT2, GPT3 and beyond, as well as stable diffusion, Vision Transformers and many more.

The ML Apps team works side by side with chip architects, compiler engineers and runtime engineers to create, build and tune distributed training solutions with Trn1. Experience training these large models using Python is a must. FSDP, Deepspeed and other distributed training libraries are central to this and extending all of this for the Neuron based system is key.

Key Job Responsibilities

This role will help lead the efforts building distributed training and inference support into Pytorch, Tensorflow, Jax using XLA and the Neuron compiler and runtime stacks. This role will help tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and the TRn1, Inf1 servers. Strong software development and ML knowledge are both critical to this role.

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.

Minimum Qualifications

1. 5+ years of non-internship professional software development experience
2. 5+ years of programming with at least one software programming language experience
3. 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
4. 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
5. Experience as a mentor, tech lead or leading an engineering team
6. Bachelor's degree in computer science or equivalent
7. Machine Learning knowledge in frameworks and end to end model training.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.

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