Systems Engineer

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 groundbreaking 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 affect the rest of the pipeline What We Need to See: Degree in Computer Science, Computer Graphics, Machine Learning, or equivalent practical experience 12+ years of experience with a sustained track record of shipping impactful products or technologies Experience taking research concepts through the full lifecycle to production‑quality systems Systems‑level thinking — you naturally reason about end‑to‑end behavior, cross‑cutting concerns, and why a design works, not just that it works Ways to Stand Out: Hands‑on work with world models, diffusion models, LLMs, neural radiance fields, differentiable rendering, or neural content generation in shipped products or production pipelines Experience building scalable systems with AI agents Non‑traditional background bringing fresh, interdisciplinary approaches (e.g., computational physics, materials science, game engine development) A track record of turning ambitious research into technology that actually works at scale You think like a systems architect — you can articulate why a design decision was made, what alternatives were considered, and what trade‑offs were accepted Salary and Equity Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6. You will also be eligible for equity and benefits. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #J-18808-Ljbffr