Performance Architect, AI HW

Experienced in C++ and Python for simulation, modeling, and performance analysis across heterogeneous compute systems.

Adept at bridging software and hardware teams—translating deep learning workloads into architectural insight and measurable design tradeoffs.

Curious, data-driven, and comfortable pushing the limits of efficiency, scalability, and accuracy in high-performance AI systems.

Benchmark and analyze complex AI workloads across single and multi-node hardware configurations to guide next-gen architecture.

Develop and maintain performance models, simulators, and micro-benchmark suites to drive feature evaluation and design optimization.

Conduct detailed PPA (Performance, Power, Area) studies to assess design tradeoffs and inform hardware-software co-design decisions.

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  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.