Applied Scientist, Machine Learning Accelerator - Annapurna LabsAmazon • Cupertino, California, United States

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Applied Scientist, Machine Learning Accelerator - Annapurna Labs

Amazon

Cupertino, California, United States

Cupertino, California, United States

Postuler Maintenant

À propos

Applied Scientist, Machine Learning Accelerator - Annapurna Labs Our team is involved with pre‑silicon design verification for custom IP. A critical requirement of the verification flow is the requirement of legal and realistic stimulus of a custom Machine Learning Accelerator Chip. Content creation is built using formal methods that model legal behavior of the design and then solving the problem to create the specific assembly tests. The entire framework for creating these custom tests is developed using an 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 collaboration with design verification engineers, hardware architects, and designers to ensure that interesting content can be created for the project’s needs.
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 APIs 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 team Utility Computing (UC) provides product innovations—from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2) to continuously released new product innovations that set AWS’s services apart in the industry.
Annapurna Labs, an organization within AWS UC, designs silicon and software that accelerates innovation. 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.
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 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.
Preferred Qualifications
Experience using Unix/Linux.
Experience in professional software development.
Equal Opportunity Statement Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Salary and Benefits 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.
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
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Cupertino, California, United States

Compétences linguistiques

English

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