As an engineer in NVIDIA's Hardware IP Security team you will play a vital role in protecting our intellectual property from malicious and accidental misuse by helping engineering teams build secure-by-default workflows and environments, crafting training materials,…
Design and evolve middleware APIs for buffer sharing, cross-engine synchronization, streaming, and inter-process communication — with a relentless focus on developer experience, simplicity, and long-term maintainability.
Researching and crafting architecture solutions for chip-to-chip communication, optimizing for performance, area, power, security, and resiliency. Working with other design teams to define interfaces and flows between NVLink blocks and the rest of the chip.
Lead, mentor, and scale a high-performing engineering team focused on deep learning inference and GPU-accelerated software. Drive the strategy, roadmap, and execution of NVIDIA’s inference frameworks engineering, focusing on Client AI.
Partner with our industry and account teams to develop a keen understanding of customer goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs. Document what you know and teach others.
Own a collection of important game developer accounts as NVIDIA's primary contact, managing partnership programs, contracts, technical engagements, and go-to-market support.
Serve as a trusted technical advisor for developers and partner engineering teams adopting Cosmos 3 across synthetic data generation and world-model workflows.
Serve as a trusted technical advisor for partners adopting the GR00T End-to-End Workflow. Guide robotic ecosystem partners in architecting end-to-end adoption of the GR00T, with a focus on model deployment on the robot.
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