AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine

learning accelerators and the Trainium-based servers that use them. As the SDM of Software Development for the Neuron Training team, you will be responsible for leading a strong team of engineers and managers to help design and deploy these new products. A successful candidate will have an established background in developing Machine Learning products with direct customer-facing experience, a strong technical ability and a motivation to achieve results. Experience in Machine Learning and software development is also a must.

Responsible for the full development life cycle of our integrations and extensions for training support in Pytorch, JAX, and distributed training libraries with a focus on performance of latest ML models at scale on Trainium using latest techniques in performance optimization, accuracy, and resilience.

you will lead the way to ensure support for key ML functionality in a combined chip / software platform, which will ensure the right thing is being built and delivered to customers

Key job responsibilities

* Lead a team of engineers focused on enabling new ML training customers on the Neuron SDK / Trainium platform.

* Own the customer onboarding journey from model evaluation through production training at scale

* Drive engineering initiatives to maximize Model FLOPS Utilization (MFU) for customer workloads through performance analysis, profiling, and tuning tools.

* Build and maintain tooling, automation, and documentation that accelerates time-to-first-training for new customer models.

* Partner with compiler, runtime, and framework teams to identify and resolve blockers in customer workloads.

* Develop scalable processes for distributed training enablement (FSDP, DeepSpeed, Megatron, custom parallelism strategies).

* Drive technical strategy for supporting frontier model architectures (LLMs, MoE, multi-modal) on Trainium.

* Build strong cross-functional partnerships with product management, developer relations, and customer-facing teams.

* Recruit, mentor, and grow a high-performing team of ML systems engineers.

A day in the life

You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale.

BASIC QUALIFICATIONS

- Experience working with PyTorch or JAX software

- 3+ years of engineering team management experience

- 7+ years of working directly within engineering teams experience

- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience

- Experience partnering with product or program management teams

- 3+ years of experience in deep learning / machine learning, including model training workflows

- Experience with distributed training at scale (multi-node, multi-accelerator)

PREFERRED QUALIFICATIONS

- Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware

- Experience directly managing scientists or machine learning engineers

- Experience debugging, profiling, and implementing best software engineering practices in large-scale systems

- Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience with CUDA kernels or ML/low-level kernels

- Experience with performance analysis, profiling, and optimization for deep learning training workloads

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 - 212,700.00 - 287,700.00 USD annually