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

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.

• 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.

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.

• 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.

• Master's degree in computer science or equivalent.
• Experience in computer architecture.
• Previous software engineering expertise with PyTorch, JAX or Tensor Flow, distributed libraries and frameworks, 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.

USA, CA, Cupertino –  –  USD annually.