Applied Scientist - ML Accelerator (Pre-Silicon)

Amazon Web Services (AWS); Austin (TX); On-site; USD 142,800 - 193,200; Full time

Job summary

Annapurna Labs (U.S.) Inc. is seeking a highly skilled engineer for pre-silicon design verification of a custom ML accelerator chip. You will help create legal and realistic stimulus, using formal methods and an SMT solver to guide the solution space into templated scenarios.

You will collaborate with design verification engineers and hardware architects to ensure the content meets project needs, shaping the verification framework and testing content for cutting-edge hardware designs.

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 algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

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.

Skills

Model building

Machine learning

Java

C++

Python

Algorithms & data structures

Parallel computing

Numerical optimization

Data mining

Education

PhD or MS with CS/CE/ML focus

Tools

Unix/Linux

Job description

Annapurna Labs (U.S.) Inc. is seeking a highly skilled engineer for pre-silicon design verification of a custom ML accelerator chip. You will help create legal and realistic stimulus, using formal methods and an SMT solver to guide the solution space into templated scenarios.

You will collaborate with design verification engineers and hardware architects to ensure the content meets project needs, shaping the verification framework and testing content for cutting-edge hardware designs.