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
We embrace our differences and are committed to fostering a culture of inclusion. We have ten employee‑led affinity groups that reach 40,000 employees in over 190 chapters globally, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.
Inclusive Team Culture
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 values work‑life balance and encourages flexible working hours to maintain a healthy flow between personal and professional life.
Mentorship & Career Growth
We support new members and foster knowledge sharing and mentorship across a broad mix of experience levels and tenures, helping each team member develop into a well‑rounded professional.
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 experience, including coding standards, code reviews, source control management, build processes, testing, and operations
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. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
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.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
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