Applied Scientist, Machine Learning Accelerator - Annapurna Labs

Description Our team is involved with pre‑silicon design verification for custom IP. The role focuses on creating legal and realistic stimulus for a custom Machine Learning Accelerator Chip using formal methods that model the design’s behavior, solving the problem to generate assembly tests. The framework for creating these custom tests is built with an SMT solver and custom software to guide the solution space into templated scenarios. This highly visible and innovative role requires designing this solving framework and collaborating with design verification engineers, hardware architects, and designers to ensure interesting content can be created for the project’s needs. Responsibilities Develop an understanding of a custom machine learning instruction set architecture. Model correctness of instruction streams using first‑order logic. Create custom APIs to control scheduling and randomness. Deploy algorithms to ensure concurrent code is safely constructed. Create coverage metrics to ensure solution space coverage. Use novel methods such as machine learning to automate content creation. About The Team AWS Utility Computing (UC) provides product innovations spanning foundational services like Amazon S3 and EC2, and continually released new product innovations that set AWS’s services apart. As part of UC, you will support the development and management of Compute, Database, Storage, IoT, Platform, and Productivity Apps services. Annapurna Labs, an org within UC, designs silicon and software that accelerates innovation. Our custom chips, accelerators, and software stacks solve unprecedented technical challenges and deliver transformative results for our customers. Basic Qualifications 3+ years of building models for business application experience. PhD or Master’s degree and 4+ years of CS, CE, ML, or related experience. Experience in patents or publications at top‑tier peer‑reviewed conferences or journals. Programming experience in Java, C++, Python, or related language. Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‑performance computing. Preferred Qualifications Experience using Unix/Linux. Experience in professional software development. EEO Statement Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Additional Information Los Angeles County applicants: Job duties include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence; communicating effectively; and following all federal, state, and local laws and company policies. Criminal history may affect some material job duties of this position. Pursuant to the Los Angeles County Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered. 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. Locations and salary ranges: USA, CA, Cupertino – 171,600.00 – 222,200.00 USD annually USA, MA, Boston – 142,800.00 – 193,200.00 USD annually USA, TX, Austin – 142,800.00 – 193,200.00 USD annually #J-18808-Ljbffr Amazon Science