Amazon Sr Machine Learning Compiler Engineer Annapurna Labs 

Israel, Tel Aviv District 

880409104

The Product:
AWS Machine Learning accelerators are at the forefront of cloud innovation and power some of the most advanced Generative AI applications on AWS. Our custom silicon – including the Inferentia chip for ML inference and the Trainium chip for ML training – delivers industry-leading performance and cost efficiency at scale. These are powered by the AWS Neuron Software Development Kit (SDK), which includes a deep learning compiler, runtime, and native integration with popular ML frameworks like PyTorch, TensorFlow, and MXNet.
Key job responsibilities
The Team:
You:
As a Senior Machine Learning Compiler Engineer in Tel Aviv, you’ll lead the development of cutting-edge compiler technologies, optimize large-scale ML workloads, and bring new hardware to life. You’ll have the opportunity to influence architecture, mentor other engineers, collaborate with AWS services teams, and work on projects that span the full product lifecycle – from pre-silicon design to production.A background in ML, compilers, or AI accelerators is a plus – but above all, we're looking for passionate engineers eager to innovate at scale.A day in the life
As a Sr. Machine Learning Compiler Engineer on the AWS Neuron team, you will be a thought leader supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads. Architecting and implementing business-critical features, publish cutting-edge research, and mentoring a brilliant team of experienced engineers excites and challenges you. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams and you will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects. A background in Machine Learning and AI accelerators is preferred, but not required.Utility Computing (UC)Work/Life Balance
Mentorship and 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.Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience as a mentor, tech lead or leading an engineering team

- Bachelor's degree in computer science or equivalent