Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training - Performance Optimization
Company websiteamazon.com (Amazon, opens in new tab)
Base salary $168,100 to $227,400
Employer-published annual base salary, USD. Advertised base range in Seattle, WA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSeattle, WA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (3 h ago) · observed since
About this job
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
This role will 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. You will work across PyTorch, JAX, and the Neuron compiler and runtime to enable and tune large-scale training workloads on the latest Trainium instances.
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 (design patterns, reliability and scaling) 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.
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.
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.
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually
Source: Amazon · View original posting (opens in new tab)
Pay in context
This role's base floor ($168,100) is above 65% of the 1,404 Software Engineering roles in Washington listed on this site; 165 others list the same floor. Their median floor is $143,700; the middle half runs from $143,700 to $168,100.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingSr. Software Engineer- AI/ML, AWS Neuron Distributed Training - Performance Optimization$168,100 to $227,400
Data Center Cluster Operations Leader, DCC Communities$170K to $265K
Data Center Cluster Operations Leader, AWS Data Centers$170K to $265K
Manager, Data Engineering, GMT Global Operations Engineering and Support$170K to $230K
Sr. Workday Application Analyst, Finance & Adaptive, Grocery Tech Business Operations & Program Management$170K to $230K
IT App Analyst III - AMZ10322420$170K to $230K
Sr. Manager, Data and Insights, US Prime & Marketing Technology$170,600 to $230,800
Chart as a table
| Role | Published base |
|---|---|
| Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training - Performance Optimization (this listing) | $168,100 - $227,400 |
| Data Center Cluster Operations Leader, DCC Communities | $170K - $265K |
| Data Center Cluster Operations Leader, AWS Data Centers | $170K - $265K |
| Manager, Data Engineering, GMT Global Operations Engineering and Support | $170K - $230K |
| Sr. Workday Application Analyst, Finance & Adaptive, Grocery Tech Business Operations & Program Management | $170K - $230K |
| IT App Analyst III - AMZ10322420 | $170K - $230K |
| Sr. Manager, Data and Insights, US Prime & Marketing Technology | $170,600 - $230,800 |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2025-05-21
Where this pay comes from
Location as the employer wrote it: US, WA, Seattle
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.