The AWS Neuron team builds the software stack — compiler, runtime, and ML frameworks — that powers Amazon's Trainium and Inferentia accelerators in EC2 Trn1/2 and Inf1 servers. Our Post-Training group focuses on making Trainium the best place to align and refine frontier models: reinforcement learning (RLHF/RLAIF), preference optimization (PPO, GRPO, DPO), and reward modeling at massive scale. We work end-to-end across a vertically integrated stack — hardware, compiler, runtime, PyTorch/JAX (XLA), and the open-source post-training ecosystem (TRL, veRL, OpenRLHF, NeMo-Aligner, Ray) — turning research techniques into production-grade, high-throughput systems that run efficiently across thousands of nodes.
We are a hands-on, customer-obsessed team that values deep technical ownership and collaboration across chip and software boundaries. You'll work directly with AWS customers and internal science teams to bring up new model families, remove scaling bottlenecks, and ship capabilities that let builders post-train and align large language and multi-modal models faster and more cost-effectively on AWS.
- 10+ years of non-internship professional software development experience
- 7+ years with distributed training or RL systems at scale; strong C/C++ and Python; experience with AI/ML model execution, inference serving, or compiler optimization; and technical leadership/mentorship of engineering teams.
- Deep hands-on expertise in one of the following, with the ability to influence across all three (not expected to be expert in all): ML model architecture (transformers, MoE, diffusion) and distributed training at scale; post-training methods (SFT, RLHF/RLAIF, DPO/IPO/KTO, reward modeling, PPO/GRPO) with convergence/alignment depth; AI inference optimization and LLM serving on custom accelerators (TPU/GPU/ASIC); ML/post-training framework development (JAX, PyTorch/XLA, TRL, veRL, NeMo-Aligner, TorchTitan/TorchAO); algorithmic optimization (compiler, graph, kernel) and numerical debugging; or adjacent backgrounds (EDA, video pipeline, GPU graphics, HPC).
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.
These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, CA, Cupertino - 230,100.00 - 311,200.00 USD annually
USA, WA, Seattle - 200,100.00 - 270,600.00 USD annually