Explore AI roles

Keyboard friendly • Copy, share & save roles

Sort by

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerato...

Fulltime Machine Learning Generative Ai Pytorch

$129k* · Senior Fully remote

Apply

Do you love decomposing problems to develop products that impact millions of people around the world? Would you enjoy...

Fulltime Machine Learning Deep Learning Generative Ai

$129k* · Senior Fully remote

Apply

Selected role

Software Engineer AI ML AWS Neuron

Amazon Web Services (AWS) Seattle, WA

Live

$129k · Senior Full-time Posted 25 days ago 4 min read

Description 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 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 LLama3, Mixtral, DBRX and beyond, as well as stable diffusion, Vision Transformers and many more.

The Distributed CoreTech training 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 support into Pytorch and 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 About Us

Inclusive Team Culture

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance

Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth

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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

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
Experience programming with at least one software programming language

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

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.

Company - Annapurna Labs (U.S.) Inc.

Job ID: A3009088

Ready to apply? You'll go straight to the hiring team.

No agency in the middle · Your profile is shared privately.

Explore the complete AI ecosystem

Discover the best AI-first companies, podcasts, events, learning paths, and jobs in one focused hub.

AI Learning Hub · Always curated, never noisy

Simple pricing for serious AI hiring

Pay per listing. No subscriptions, no hidden fees. Designed for teams hiring for high-impact AI roles.

No-risk: replace or refund if the role doesn’t get traction.

Standard listing

Reach active AI talent

For startups

$349 per role

30-day live listing in the AI job feed.
Structured posting written for AI engineers (we’ll help refine copy).
Instant alerts to subscribed candidates for your tags (LLMs, agents, infra, etc.).

Most teams see first applicants within 24–48 hours.

Max visibility to senior talent

For scale-ups

$649 per role

Everything in Standard, plus homepage & “Featured role” placement.
Priority placement in weekly AI roles newsletter.
1:1 review of your role with DevFound to calibrate for top-tier candidates.
Highlight badge on job page to increase conversion.

Best for teams hiring 1–3 critical AI roles this quarter.

Amazon Web Services (AWS) Jobs

Explore AI roles

Software Engineer AI ML AWS Neuron

Software Engineer AI ML AWS Neuron Distributed Training

Explore the complete AI ecosystem

Choose Your Plan

Simple pricing for serious AI hiring

Reach active AI talent

Max visibility to senior talent