Machine Learning Engineer

Do you want to be part of AI revolution? At AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to cutting‑edge infrastructure. In order to deliver on that vision, we’ve created innovative software and hardware solutions that make it possible. AWS Neuron is the SDK that optimizes the performance of complex ML models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep‑learning workloads This role is for a senior software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which transforms ML models written in ML frameworks (e.g., PyTorch, TensorFlow, and JAX) to be deployed AWS Inferentia and Trainium based servers in the Amazon cloud. You will be responsible for solving hard compiler optimization problems to achieve optimum performance for a variety of ML model families including massive‑scale large language models like Llama, Deepseek, and beyond as well as stable diffusion, vision transformers and multi‑model models. You will be required to understand how these models work inside‑out to make informed decisions on how to best coax the compiler to generate optimal implementation instruction. You will leverage your technical communications skill to partner with other teams and will be involved in pre‑silicon design, bringing new products/features to market, and many other exciting projects. Experience in object‑oriented languages like C++/Java is a must; experience with compilers or building ML models using ML frameworks on accelerators (e.g., GPUs) is preferred but not required. Experience with technologies like OpenXLA, StableHLO, MLIR will be added bonus! Key job responsibilities You will design, implement, test, deploy and maintain innovative software solutions to transform Neuron compiler’s performance, stability and user‑interface. You will work side by side with chip architects, runtime/OS engineers, scientists and ML Apps teams to seamlessly deploy cutting‑edge ML models from our customers on AWS accelerators with optimal cost/performance benefits. You will have opportunity to become front‑face of Neuron Compiler to work with open‑source communities (e.g., StableHLO, OpenXLA, MLIR) and influence industry‑wide partners to pioneer optimizing cutting‑edge ML workloads on AWS software and hardware. You will also work on building innovative features that will deliver best possible experiences for our customers – developers across the globe. A day in the life As you design and code solutions to help our team drive efficiencies in compiler architecture, you’ll create compiler optimization and verification passes, build features surface features and peculiarities of AWS accelerators to developers, implement tools to analyze numerical errors, and resolve the root cause of compiler defects. You’ll also participate in design discussions, code review, and communicate with internal (other Neuron SDK and Amazon‑wide teams) and external stakeholders (open‑source communities and respond to Neuron compiler related questions in open forums, e.g. GitHub). Lastly, work in a startup‑like development environment, where you’re always working on the most important stuff. Basic Qualifications Bachelor's degree in computer science or equivalent 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience 3+ years of experience in developing compiler features and optimizations Proficiency with 1 or more of the following programming languages: C++ (preferred), Python Preferred Qualifications Master or PhD degree in computer science or equivalent Proficiency with compiler design, resource management, instruction scheduling, memory allocation, data transfer optimization, compute graph optimization, code generation, and Instruction Set Architecture Experience with LLVM and/or MLIR Experience in LLM, Vision or other deep‑learning models Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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 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 . USA, CA, Cupertino - 193,300.00 - 261,500.00 USD annually #J-18808-Ljbffr