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

Amazon; Cupertino (CA); On-site; USD 193,300 - 261,500; Full time

Job summary

Amazon Annapurna Labs is seeking a Sr. Software Engineer for AI/ML distributed training to design and optimize large-scale ML training on Trainium instances. You will enhance distributed frameworks and optimize mixed-precision training, working closely with hardware and runtime teams.

Qualified candidates have 5+ years in software development, leadership experience, and strong PyTorch expertise. On-site in Cupertino, you will collaborate with AWS solution architects and customers to deploy

Qualifications

• Bachelor's degree in computer science or equivalent.
• 5+ years of professional software development experience.
• 5+ years of programming in at least one software programming language.
• 5+ years of leading design or architecture of new and existing systems (design patterns, reliability, and scaling).
• 5+ years of full software development life cycle experience, including coding standards, code reviews, source control, build processes, testing, and operations.
• Experience as a mentor, tech lead, or leading an engineering team.
• Experience in machine learning, large scale training with LLMs, and expertise in PyTorch.

Responsibilities

• Design, implement, and optimize distributed training solutions for large scale ML models running on Trainium instances.
• Extend and optimize popular distributed training frameworks including FSDP (Fully-Sharded Data Parallel), torchtitan and Hugging Face libraries for the Neuron ecosystem.
• Develop and optimize mixed-precision and low-precision training techniques to maximize training throughput while maintaining model accuracy.
• 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.

Skills

Software development experience

Distributed systems design

Mentorship / Tech lead

PyTorch experience

Education

Bachelor's degree in computer science or equivalent

Master's degree in computer science or equivalent

Job description

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

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), our cloud scale Machine Learning accelerators and we are seeking a Senior Software Engineer to join our ML Distributed Training team.

Key Responsibilities

• Design, implement, and optimize distributed training solutions for large scale ML models running on Trainium instances.
• Extend and optimize popular distributed training frameworks including FSDP (Fully-Sharded Data Parallel), torchtitan and Hugging Face libraries for the Neuron ecosystem.
• Develop and optimize mixed-precision and low-precision training techniques (BF16, FP8, 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.

About the Team

Annapurna Labs was a startup company acquired by AWS in 2015, and is now fully integrated. We cover multiple disciplines including silicon engineering, hardware design and verification, software, and operations. Our products include AWS Nitro, ENA, EFA, Graviton, F1 EC2 Instances, AWS Neuron, Inferentia and Trainium ML Accelerators, and scalable NVMe storage.

Basic Qualifications

• Bachelor's degree in computer science or equivalent.
• 5+ years of professional software development experience.
• 5+ years of programming in at least one software programming language.
• 5+ years of leading design or architecture of new and existing systems (design patterns, reliability, and scaling).
• 5+ years of full software development life cycle experience, including coding standards, code reviews, source control, build processes, testing, and operations.
• Experience as a mentor, tech lead, or leading an engineering team.
• Experience in machine learning, large scale training with LLMs, and expertise in PyTorch.

Preferred Qualifications

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

Equal Opportunity Employer

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Location & Compensation

USA, CA, Cupertino – 193,300.00 – 261,500.00 USD annually.