Applied Scientist, Machine Learning Accelerator - Annapurna Labs

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 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 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 consistently released new 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, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions. 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. 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. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation.

Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr