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

Amazon Web Services (AWS); Seattle (WA); On-site; USD 168,100 - 227,400; Full time

Job summary

Annapurna Labs (U.S.) Inc. in Seattle seeks a Senior Software Engineer to shape the evolution of AWS Neuron, AWS's AI accelerator stack. You will drive distributed AI across ML frameworks and hardware, focusing on high-performance inference for state-of-the-art models.

Join a team that bridges PyTorch and JAX with XLA, optimizes Trainium and Inferentia, and creates tools improving LLM accuracy and efficiency at scale.

Qualifications

• 5+ years of full software development lifecycle experience.
• 5+ years of programming experience with Python or C++ and PyTorch.
• Experience with AI acceleration via quantization, parallelism, model compression, batching, KV caching, vllm serving.
• Experience with accuracy debugging & tooling and performance benchmarking of AI accelerators.
• Fundamentals of ML and DL models, their architecture, training and inference lifecycles, plus optimization work.

Responsibilities

• Drive Evolution of Distributed AI at AWS Neuron, bridging ML frameworks and hardware.
• Architect the bridge between PyTorch, JAX and AI hardware; push scalable AI model execution.
• Spearhead benchmark methodologies and performance tuning for AI accelerators.
• Develop ML tools to improve LLM accuracy and efficiency.
• Collaborate with silicon architects to influence accelerator design.

Skills

Distributed systems

AI acceleration

Performance optimization

Debugging tooling

Inference optimization

Education

Bachelor's degree in CS or equivalent

Master's degree in CS or ML or equivalent

Tools

Python

C++

PyTorch

Job 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.

What You’ll Impact

• Pioneer distributed inference solutions for industry-leading LLMs such as GPT, Llama, Qwen
• Optimize breakthrough language and vision generative AI models
• Collaborate directly with silicon architects and compiler teams to push the boundaries of AI acceleration
• Drive performance benchmarking and tuning that directly impacts millions of inference calls globally

Key job responsibilities

You will drive the Evolution of Distributed AI at AWS Neuron. As a Technical Leader at the forefront of AWS's AI Accelerator, you'll architect the bridge between ML frameworks including PyTorch, JAX and AI hardware. This isn't just about just optimization—it's about revolutionizing how AI models run at scale.

Technical Impact You’ll Drive

• 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

What Makes This Role Unique

• Direct influence on AWS's AI infrastructure used by thousands of ML applications
• Full-stack optimization from high-level frameworks to hardware-specific primitives
• Creation of tools and frameworks that define industry standards for ML deployment
• Collaboration with both open-source ML communities and hardware architecture teams

Your Technical Arsenal Should Include

• Deep expertise in Python and ML framework internals
• Strong understanding of distributed systems and ML optimization
• Passion for performance tuning and system architecture

A day in the life

Work/Life Balance

Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

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.

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.

We pioneer distributed inference solutions for PyTorch and JAX using XLA, optimize industry-leading LLMs like GPT and Llama, and collaborate directly with silicon architects to influence the future of AI hardware. Our systems handle millions of inference calls daily, while our optimizations directly impact thousands of AWS customers running critical AI workloads.

We're focused on pushing the boundaries of large language model optimization, distributed inference architecture, and hardware-specific performance tuning. Our deep technical experts transform complex ML challenges into elegant, scalable solutions that define how AI workloads run in production.

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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also 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 https://amazon.jobs/en/benefits.

USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually

Company - Annapurna Labs (U.S.) Inc.

Job ID: A3118746