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

Overview

Annapurna Labs designs silicon and software that accelerates innovation. Our custom chips, accelerators, and software stacks enable us to tackle unprecedented technical challenges and deliver solutions that help customers change the world. AWS Neuron is the complete software stack powering AWS Trainium (Trn2/Trn3), and we are seeking a Senior Software Engineer to join our ML Distributed Training team.

• Design, implement and optimize distributed training solutions for large scale ML models running on Trainium instances. A significant part of your work will involve extending and optimizing popular distributed training frameworks including FSDP (Fully-Sharded Data Parallel), torch titan and Hugging Face libraries for the Neuron ecosystem.
• Develop and optimize mixed-precision and low-precision training techniques using BF16, FP8, and emerging numerical formats to maximize training throughput while maintaining model accuracy and convergence quality. Implement precision-aware training strategies, loss scaling techniques, and careful gradient management to ensure training stability across reduced precision formats.
• Profile, analyze, and tune end-to-end training pipelines to achieve optimal performance on Trainium hardware. Partner with hardware, compiler, and runtime teams to influence system design and unlock new capabilities. Work directly with AWS solution architects and customers to deploy and optimize training workloads at scale.

• Bachelor's degree in computer science or equivalent
• 5+ years of non-internship professional software development experience
• 5+ years of programming with at least one software programming language
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems
• 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
• Experience in machine learning, large scale training with LLMs and expertise in Py Torch

• Master's degree in computer science or equivalent
• Experience in computer architecture
• Previous software engineering expertise with PyTorch/Jax/Tensor Flow, distributed libraries and frameworks, end-to-end model training

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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.

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USA, CA, Cupertino -  -  USD annually

Job : A3168219