CPU/AI Workload Analysis Intern

Strong foundation in computer organization, computer architecture, parallel computation and digital logic design.

Hands-on with Linux, performance and power profiling tools, Silicon PMU profiling, and hardware performance counters.

Proficient in Shell scripting, Python, and C++, with experience in PyTorch, benchmarking, and targeted microbenchmarks.

Strong familiarity with modern AI productivity workflows, with the ability to effectively use AI tools.

Conduct deep research into cutting-edge CPU application trends, workload characterization, and advanced performance and power modeling techniques.

Build robust profiling, automation, and visualization tools that accelerate workload analysis and streamline production workflows.

This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.