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

Amazon; Seattle (WA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a Sr. Software Engineer for their AI/ML team in Seattle, WA. This position focuses on optimizing distributed training performance for AWS Neuron and requires a deep expertise in software development, machine learning, and collaborative work across various teams.

The ideal candidate will have at least 5 years of relevant experience and will be part of a supportive environment focused on mentoring and career growth. This role also includes a competitive salary and comprehensive benefits.

Qualifications

• 5+ years of non-internship professional software development experience.
• 5+ years of programming with at least one software programming language experience.
• 5+ years of leading design or architecture of new and existing systems experience.

Responsibilities

• Lead efforts to optimize distributed training performance on Trainium.
• Work across PyTorch, JAX, and the Neuron compiler to enable large-scale training.
• Collaborate with chip architects, compiler engineers, and runtime engineers.

Skills

Software Development

Programming Languages

System Design

Mentorship

Machine Learning

Education

Bachelor's degree in Computer Science or equivalent

Tools

PyTorch

JAX

Job description

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

Annapurna Labs 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 Trainium and Inferentia cloud‑scale machine learning accelerators and the Trn3/Trn2/Trn1 and Inf2/Inf1 servers that use them. This role is for a software engineer in the Distributed Training 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 multi‑modal large language models like Llama, Qwen, gpt‑oss, DeepSeek and beyond, as well as multi‑modal generation models such as Stable Diffusion, Flux, WAN, and many more.

The Distributed Training team works side by side with chip architects, compiler engineers and runtime engineers to create, build and tune distributed training solutions with AWS Trainium, maximize training throughput, minimize time‑to‑convergence, and push the boundaries of training efficiency on Trainium. You will identify and resolve performance bottlenecks across the stack, from collective communications and memory utilization to compiler optimizations and kernel performance.

Key job responsibilities

• Lead efforts to optimize distributed training performance on Trainium, with a primary focus on maximizing training throughput, model flops utilization, and efficiency across the Neuron software stack.
• Work across PyTorch, JAX, and the Neuron compiler and runtime to enable and tune large‑scale training workloads on the latest Trainium instances.
• Identify and resolve performance bottlenecks across the stack, from collective communications and memory utilization to compiler optimizations and kernel performance.
• Collaborate with chip architects, compiler engineers, and runtime engineers to build and tune distributed training solutions with AWS Trainium.

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.

Basic Qualifications

• 5+ years of non‑internship professional software development experience
• 5+ years of programming with at least one software programming language experience
• 5+ years of leading design or architecture of new and existing systems experience
• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Experience as a mentor, tech lead or leading an engineering team

Preferred Qualifications

• Bachelor's degree in computer science or equivalent
• Machine Learning knowledge in frameworks and end‑to‑end model training

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

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

Posted: April 8, 2026 (Updated about 1 hour ago)