Teams at NVIDIA

Lead design and implementation of security systems and controls for large-scale AI and HPC cluster infrastructure. Drive incident response, risk assessment, system hardening, governance, audit readiness, and cross-team collaboration to protect hardware, software, and datacenter platforms.

Design and implement high-speed digital front-end and back-end for DSPs and silicon photonics IPs: define micro-architecture, calibration algorithms, translate to RTL/firmware, create synthesis constraints, drive timing closure, evaluate PPA trade-offs, and lead post-silicon bring-up, testing, characterization, and cross-functional production handoff.

Designs and builds PyTorch components optimized for systems ranging from thousands to hundreds of thousands of GPUs. Collaborates with hardware and software teams to improve GPU performance, develops production AI solutions for enterprise customers, and supports internal AI research tools. The role requires deep learning expertise, C++ proficiency, systems software knowledge, distributed and parallel programming experience, and large-scale software development skills.