Software Engineer-AI​/ML, AWS Neuron Inference

Software Engineer-AI/ML, AWS Neuron Inference

Job  | Amazon Development Center U.S., Inc.

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud‑scale machine learning accelerators. This role is for a senior software engineer in the Machine Learning Inference Applications team. It is responsible for development and performance optimization of core building blocks of LLM inference—Attention, MLP, Quantization, Speculative Decoding, Mixture of Experts, etc. The team works side by side with chip architects, compiler engineers, and runtime engineers to deliver performance and accuracy on Neuron devices across a range of models such as Llama 3.3 70B, 3.1 405B, DBRX, Mixtral, and so on.

• Adapt latest research in LLM optimization to Neuron chips to extract best performance from both open source and internally developed models.
• Work across teams and organizations to integrate and deliver optimized inference solutions.
• Collaborate with chip architects, compiler engineers, and runtime engineers to refine performance and accuracy.

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. Senior members provide one‑on‑one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help team members develop engineering expertise so you feel empowered to take on more complex tasks in the future.

• 3+ years of non‑internship professional software development experience.
• 2+ years of non‑internship design or architecture (design patterns, reliability, and scaling) of new and existing systems.
• Experience programming with at least one software programming language.
• Fundamentals of machine‑learning models, their architecture, training and inference life cycles along with work experience on some optimizations for improving model performance.

• 3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Bachelor’s degree in computer science or equivalent.
• Hands‑on experience with PyTorch or Jax—preferably involving developing and deploying LLMs in production on GPUs, Neuron, TPU, or other AI acceleration hardware.

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 (Use the "Apply for this Job" box below). 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 USA, WA, Seattle – $ – $ USD annually. 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.

For more information about our benefits visit .