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

Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training - Performance OptimizationAWS Utility Computing (UC) provides product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cutting‑edge cloud computing offerings across the AWS portfolio.Annapurna Labs (our organization within AWS UC) 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 Inferentia and Trainium cloud‑scale machine learning accelerators and the Trn1 and Inf1 servers that use them. This role is for a senior 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 GPT‑2, GPT‑3 and beyond, as well as stable diffusion, Vision Transformers and many more.The ML Apps 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 responsibilitiesThis role will help build distributed training and inference support into PyTorch, TensorFlow, 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 teamOur 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 your team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Basic Qualifications5+ years of non‑internship professional software development experience5+ years of programming with at least one software programming language experience5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experienceExperience as a mentor, tech lead or leading an engineering teamPreferred QualificationsBachelor's degree in computer science or equivalentMachine 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.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/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.#J-18808-Ljbffr