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

Amazon • Seattle, WA

55d

About The Position

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. 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.

Requirements

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

Nice To Haves

• 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

Responsibilities

• 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
• 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

Benefits

• We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
• 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.
• 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 [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.
• Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
• For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits [https://www.aboutamazon.com/workplace/employee-benefits]. This position will remain posted until filled. Applicants should apply via our internal or external career site.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level