Teams at NVIDIA

Develop and maintain hardware abstraction layers, core system libraries, drivers, and runtimes; improve reliability via automation and diagnostics; debug multi-component system issues; support hardware bring-up and NPI; collaborate with hardware, compiler, and operations teams; contribute to documentation and tooling.

Lead deep-learning inference optimization for edge/autonomous systems: analyze models to operator/kernel level, benchmark and deploy TensorRT/compiler solutions on Jetson/DRIVE/ARM/GPU platforms, collaborate with compiler/runtime/hardware teams, and engage partners to deliver production-ready performance improvements.

Lead the strategy and evolution of internal hardware infrastructure tools used in ASIC development, optimize workflows, and drive cross-functional alignment to enhance engineering productivity.