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Partner with researchers, engineers, artists, and designers to translate prototypes into production-ready engine features, ensuring understanding of existing systems; Develop novel ideas by researching and implementing solutions to some of the most
Develop and implement system-level validation across pre-silicon and silicon environments; Develop test automation and infrastructure using appropriate tools, frameworks and programming languages; Contribute to CI, regression and test infrastructure
You’ll architect and implement high-performance inference stacks, optimize GPU kernels and compilers, drive industry benchmarks, and scale workloads across multi-GPU, multi-node, and multi-cloud environments. You’ll collaborate across inference,
Develop, debug, and maintain software and scripts supporting CPU core performance modelling and correlation regressions across simulation, emulation, and RTL environments. Investigate and root-cause discrepancies in performance metrics (e.g., IPC, PMC
The role involves close collaboration with the ML hardware design and verification teams to contribute to product design, specification, and verification. It also includes collaborating with the compiler team to optimize hardware performance and