ML Distributed Training Engineer for Trainium

Amazon Web Services (AWS); Seattle (WA); On-site; USD 143,700 - 194,400; Full time

Job summary

Annapurna Labs (U.S.) Inc. in Cupertino/Seattle is seeking a software engineer for the Distributed Training team within AWS Neuron.

You will help optimize distributed training on Trainium, focusing on throughput, model flop utilization, and efficiency across the Neuron software stack. You will work with PyTorch, JAX, and the Neuron compiler/runtime to enable and tune large-scale training workloads on the latest Trainium instances.

Qualifications

• 3+ years of non‑internship professional software development experience.
• 2+ years of non‑internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
• Experience programming with at least one software programming language.

Responsibilities

• Lead efforts to optimize distributed training performance on Trainium, maximizing throughput and utilization across the Neuron stack.
• Collaborate across PyTorch, JAX, and the Neuron compiler and runtime to enable large-scale training workloads on Trainium.

Skills

Software development

System design

Programming languages

Education

Bachelor's degree in CS

Job description

Annapurna Labs (U.S.) Inc. in Cupertino/Seattle is seeking a software engineer for the Distributed Training team within AWS Neuron.

You will help optimize distributed training on Trainium, focusing on throughput, model flop utilization, and efficiency across the Neuron software stack. You will work with PyTorch, JAX, and the Neuron compiler/runtime to enable and tune large-scale training workloads on the latest Trainium instances.