Sr. Software Engineer- AI/ML, AWS Neuron Apps

Description

Shape the Future of AI Accelerators at AWS Neuron
Join the elite team behind AWS Neuron—the software stack powering AWS's next-generation AI accelerators Inferentia and Trainium. As a Senior Software Engineer in our Machine Learning Applications team, you'll be at the forefront of deploying and optimizing some of the world's most sophisticated AI models at unprecedented scale.

Key job responsibilities

• Drive the Evolution of Distributed AI at AWS Neuron
• Architect the bridge between ML frameworks including PyTorch, JAX and AI hardware
• Spearhead distributed inference architecture for PyTorch and JAX using XLA
• Engineer breakthrough performance optimizations for AWS Trainium and Inferentia
• Develop ML tools to enhance LLM accuracy and efficiency
• Transform complex tensor operations into highly optimized hardware implementations
• Pioneer benchmarking methodologies that shape next-gen AI accelerator design

About the team

At AWS Neuron, we're revolutionizing how the world's most sophisticated AI models run at scale through Amazon's next-generation AI accelerators. Operating at the unique intersection of ML frameworks and custom silicon, our team drives innovation from silicon architecture to production software deployment.

Basic Qualifications

• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• 5+ years of programming experience using Python or C++ and PyTorch
• Experience with AI acceleration via quantization, parallelism, model compression, batching, KV caching, vllm serving
• Experience with accuracy debugging & tooling, performance benchmarking of AI accelerators
• Fundamentals of Machine learning and deep learning models, their architecture, training and inference lifecycles along with work experience on optimizations for improving the model execution

Preferred Qualifications

• Master's degree in computer science or equivalent
• Master's degree in machine learning or equivalent
• Experience with accuracy debugging & tooling, performance benchmarking of AI accelerators
• Experience in developing CUDA kernels, HPC and inference optimization, tensors operations

Mentorship & Career Growth

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

Our Inclusive Culture

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit here.

Benefits

Amazon 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 here.