NVIDIA
Computer graphics
SeniorResearchEngineer,OmniDreamsandAlpasim
“Senior Research Engineer, OmniDreams and Alpasim at NVIDIA. Skills: neural reconstruction, diffusion/world models, rendering, simulation, real-time inference, computer graphics, machine learning, software systems. Partner closely with research teams to shape neural graphics and world-simulation techniques. Build prototypes and production-quality implementations across neural reconstruction, diffusion/world models, rendering, simulation, and real-time inference”
What You'll Achieve.
building systems that can be evaluated, released, and improved over time; systems that run, scale, and teach us what matters
Industry & Context.
make sharp design trade-offs; make principled technical trade-offs
What They're Looking For.
Must Have
Background in Computer Science, Computer Graphics, Machine Learning, Electrical Engineering, or equivalent practical experience, 8+ years of technical experience, or an equivalent record of exceptional technical contribution, Deep hands-on expertise in one or more of: neural rendering, world models, diffusion/video generation, neural reconstruction, computer vision, simulation, or ML systems, implementation skill in real software systems, including debugging, optimization, integration, and performance-aware design, Experience taking research concepts through the lifecycle from prototype to robust, evaluated, production-quality technology, Ability to lead ambiguous, cross-team technical work and communicate the trade-offs behind architectural decisions
Nice to Have
Hands-on work with Gaussian Splatting, NeRFs, differentiable rendering, diffusion models, video generation, controllable world models, or neural content generation, Experience building real-time graphics, simulation, robotics, AV, physical AI, game engine, or media creation systems, point of view on how AI will change entertainment, graphics, media, and interactive content creation, Experience with CUDA, Slang, graphics APIs, real-time engines, GPU performance, or ML inference optimization, Papers, patents, open-source leadership, shipped systems, or field-level technical impact in graphics, AI, simulation, or ML systems
What You'll Do.
Partner closely with research teams to shape neural graphics and world-simulation techniques
Build prototypes and production-quality implementations across neural reconstruction
diffusion/world models
and real-time inference
Connect generated worlds
controllable simulation state
and downstream evaluation loops into coherent end-to-end systems
and developer usability in real-time pipelines
Make principled technical trade-offs across models
and product constraints
Influence NVIDIA's broader neural graphics direction by grounding frontier ideas in systems that run
and teach us what matters
How You'll Work.
Team & Collaboration
Partner closely with research teams; Ability to lead ambiguous, cross-team technical work
Communication Scope
communicate the trade-offs behind architectural decisions
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