Amazon
Software Engineer- AI/ML, AWS Neuron Distributed Training - Performance Optimization
$144K–$224K
Seattle, WA +1 · Full-time · Posted Feb 5, 2026
- Location
- Seattle, WA
Cupertino, CA - Experience
- 3+ years of non-internship professional software development; 2+ years of non-internship design or architecture experience. Preferred: 3+ years of full software development life cycle experience.
- Education
- Bachelor's degree in computer science or equivalent.
About the job
Develop and optimize distributed machine-learning training on AWS Trainium, improving throughput and efficiency across the AWS Neuron software stack.
What you'll do
- Enable and tune large-scale training workloads and a range of ML model families on Trainium.
- Identify and resolve performance bottlenecks in collective communications, memory utilization, compiler optimizations, and kernel performance.
- Optimize training throughput, model FLOPs utilization, and efficiency across PyTorch, JAX, and the Neuron compiler and runtime.
What they ask for
- 3+ years of non-internship professional software development experience.
- 2+ years of non-internship experience in design or architecture of new and existing systems, including design patterns, reliability, and scaling.
- Experience programming with at least one software programming language.
Nice to have
- 3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Bachelor's degree in computer science or equivalent.
Pay
USD 165,200.00 - 223,600.00 annually (base salary); USD 143,700.00 - 194,400.00 annually (base salary)
Tools
AWS Neuron, AWS Trainium, PyTorch, JAX, Neuron compiler, Neuron runtime
AI focus
Enable and performance-tune distributed training for large-scale ML models, including multimodal language and generation models.
Model-written summary · the original posting is authoritative