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Senior Systems Engineer, Neural Graphics

NVIDIA · Santa Clara, United States

Full-time Posted 4 days ago

About this role

Computer graphics is undergoing its most significant transformation since the invention of the GPU. AI and traditional rendering are converging, opening unprecedented possibilities for real-time visual experiences. At NVIDIA, our Neural Graphics team is where ground breaking techniques meet production systems used by millions of developers and creators worldwide

Through technologies like AlpaDreams — our neural world simulation system delivering neural-reconstruction-level fidelity in open worlds — we're solving the hardest integration and performance challenges at the frontier of AI and graphics. This is systems work — understanding the full problem, making sharp design trade-offs, and building something that holds together end-to-end under real-world constraints. We're looking for an outstanding engineer to be a driving force in this evolution

You'll bring deep expertise in graphics and AI to our production team, taking novel techniques and driving them through the hard last-mile engineering required to ship real products. You see research and engineering as the same work at different altitudes — and you're motivated by the systems optimization, integration challenges, and steadfast iteration that turn a promising idea into something millions of people use. If that sounds like you, this is an outstanding opportunity to shape the future of visual computing

What You'll Be Doing: Take innovative world simulation techniques — like AlpaDreams — and drive them into production-ready, real-time pipelines integrated with downstream stacks Own the end-to-end path from prototype to shipping product — performance optimization, system integration, quality bar Solve the hard systems challenges — latency, memory, throughput — that stand between a research demo and a product customers depend on Make principled design trade-offs across the full stack — choosing the right level of complexity, identifying where a simpler approach wins, and understanding how decisions in one stage

Apply for this role on NVIDIA’s official careers site.

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