Senior ML Systems Engineer - AI Inference on AWS Neuron

Amazon Web Services (AWS); Cupertino (CA); On-site; USD 193,000 - 262,000; Full time

Job summary

Annapurna Labs (U.S.) Inc. is seeking a seasoned software engineer to design, develop, and optimize ML models and frameworks for deployment on AWS Neuron hardware accelerators (Inferentia and Trainium).

You will collaborate across teams with PyTorch and JAX, implement high‑performance kernels, analyze system performance, and work directly with customers to enable scalable AI inference on Neuron.

Qualifications

• Bachelor's degree in computer science or equivalent.
• 5+ years of professional software development experience.
• Experience in design/architecture of scalable systems.
• Knowledge of ML concepts and LLMS; optimization experience.
• Proficiency in C++ and Python.
• Strong understanding of system performance and memory management.
• Experience with debugging and profiling.

Responsibilities

• Design, develop, and optimize ML models and frameworks for deployment on custom ML hardware accelerators.
• Participate in all stages of the ML system development lifecycle including distributed computing based architecture design, implementation, performance profiling, hardware-specific optimizations, testing and production deployment.
• Build infrastructure to systematically analyze and onboard multiple models with diverse architecture.
• Design and implement high-performance kernels and features for ML operations, leveraging the Neuron architecture and programming models
• Analyze and optimize system-level performance across multiple generations of Neuron hardware
• Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks
• Implement optimizations such as fusion, sharding, tiling, and scheduling
• Conduct comprehensive testing, including unit and end-to-end model testing with continuous deployment and releases through pipelines.
• Work directly with customers to enable and optimize their ML models on AWS accelerators
• Collaborate across teams to develop innovative optimization techniques

Skills

C++

Python

Parallel computing

Debugging

Profiling

Performance tuning

Education

Bachelor's degree in computer science

Master's degree in computer science

Tools

PyTorch

JIT compilation

AOT tracing

CUDA kernels

TensorRT

CUTLASS

FlashInfer

vLLM

SGLang

Job description

Annapurna Labs (U.S.) Inc. is seeking a seasoned software engineer to design, develop, and optimize ML models and frameworks for deployment on AWS Neuron hardware accelerators (Inferentia and Trainium).

You will collaborate across teams with PyTorch and JAX, implement high‑performance kernels, analyze system performance, and work directly with customers to enable scalable AI inference on Neuron.