ML Inference Engineer - AWS Neuron & GenAI

Amazon Web Services (AWS); Cupertino (CA); On-site; USD 165,000 - 224,000; Full time

Job summary

Annapurna Labs (U.S.) Inc. in Cupertino, CA, seeks engineers to design and optimize ML models for AWS Neuron on Inferentia and Trainium accelerators, bridging software and hardware for high-performance inference and training.

You will work across frameworks, kernels and compilers, implement high-performance ML kernels, profile performance, and collaborate with customers to enable their models on AWS accelerators, in a fast-paced startup‑like culture.

Qualifications

• Bachelor's degree in computer science or equivalent.
• 3+ years of professional software development experience.
• 3+ years of design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
• Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution.
• Software development experience in C++, Python (experience in at least one language is required).
• Strong understanding of system performance, memory management, and parallel computing principles.
• Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems.

Responsibilities

• Design, develop, and optimize machine learning 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

Performance profiling

Debugging

Parallel computing

Education

Bachelor's degree in computer science or equivalent

Tools

PyTorch

JIT compilation

TensorRT

CUDA kernels

Job description

Annapurna Labs (U.S.) Inc. in Cupertino, CA, seeks engineers to design and optimize ML models for AWS Neuron on Inferentia and Trainium accelerators, bridging software and hardware for high-performance inference and training.

You will work across frameworks, kernels and compilers, implement high-performance ML kernels, profile performance, and collaborate with customers to enable their models on AWS accelerators, in a fast-paced startup‑like culture.