Applied Scientist, Machine Learning Accelerator - Annapurna Labs
About the team
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
- Develop an understanding for a custom machine learning instruction set architecture.
- Model correctness of instruction streams using first order logic.
- Create custom API's to allow control over scheduling and randomness.
- Deploy algorithms to ensure concurrent code is safely constructed.
- Create coverage metrics to ensure solution space coverage.
- Use novel methods like machine learning to automate content creation.
About the role
The entire framework for creating these custom tests is developed using a SMT solver and custom software code to guide the solution space into templated scenarios. This highly visible and innovative role requires the design of this solving framework and collaborating with design verification engineers, hardware architects and designers to ensure that interesting content can be created for the projects needs.
Qualifications
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing