Senior ML Compiler Engineer, AWS Neuron, Annapurna Labs

Do you love decomposing problems to develop products that impact millions of people around the world?

The AWS Neuron Compiler team is actively seeking a skilled Senior Software Development Engineer to build, deliver, and maintain a state-of-the-art deep learning compiler stack that delights our customers and raises our performance bar. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch, TensorFlow, and JAX. Your role will involve working closely with our custom-built Machine Learning accelerators, Inferentia and Trainium, which represent the forefront of AWS innovation for advanced ML capabilities, powering solutions like Generative AI.

In this role as a senior ML Compiler Engineer, you'll be instrumental in designing, developing, and optimizing features for our compiler. You will develop and scale the compiler to handle the world's largest ML workloads. You will architect and implement business-critical features, publish cutting-edge research, and mentor a brilliant team of experienced engineers. You will need to be technically capable, credible, and curious in your own right as a trusted AWS Neuron engineer, innovating on behalf of our customers. Your responsibilities will involve tackling crucial challenges alongside a talented engineering team, contributing to leading-edge design and research in compiler technology and deep-learning systems software. Strong experience developing compiler optimization, graph-theory, hardware bring-up, FPGA placement and routing algorithms, or hardware resource management will be a benefit in this role.

Additionally, you'll collaborate closely with cross-functional team members from the Runtime, Frameworks, and Hardware teams to ensure system-wide performance optimization. You will leverage your technical communication skills as a hands-on partner to AWS ML services teams. You will be involved in pre-silicon design, bringing new products/features to market, and participating in many other exciting projects.

AWS Utility Computing (UC) provides product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cutting-edge cloud computing offerings across the AWS portfolio.

Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.

Key job responsibilities
Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You’ll bring a passion for innovation, data, search, analytics, and distributed systems. You’ll also:

1. Solve challenging technical problems, often ones not solved before, at every layer of the stack.
2. Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.
3. Build high-quality, highly available, always-on products.
4. Research implementations that deliver the best possible experiences for customers.

A day in the life
As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:

1. Build high-impact solutions to deliver to our large customer base.
2. Participate in design discussions, code review, and communicate with internal and external stakeholders.
3. Work cross-functionally to help drive business decisions with your technical input.
4. Work in a startup-like development environment, where you’re always working on the most important stuff.

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

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

About AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

BASIC QUALIFICATIONS

- B.S. or M.S. in computer science or related field
- 5+ years of non-internship professional software development experience including full software development life cycle, encompassing coding standards, code reviews, source control management, build processes, testing, and operations experience
- 5+ years of leading design or architecture (design, reliability and scaling) of new and existing systems experience
- 5+ years of programming with C++
- 3+ years of experience developing compiler optimization, graph-theory, hardware bring-up, FPGA placement and routing algorithms, or hardware resource management
- Experience as a mentor, tech lead or leading an engineering team

PREFERRED QUALIFICATIONS

- M.S. or Ph.D. in computer science or related field
- Strong knowledge in one or more of the areas of: compiler design, instruction scheduling, memory allocation, data transfer optimization, graph partitioning, parallel programming, code generation, Instruction Set Architectures, new hardware bring-up, and hardware-software co-design
- Experience with LLVM and/or MLIR
- Experience with developing algorithms for simulation tools
- Experience in TensorFlow, PyTorch, and/or JAX
- Experience in LLM, Vision or other deep-learning models

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit

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