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NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years, driven by exceptional technology and outstanding individuals. Today, we're tapping into the unlimited potential of AI to define the next era of computing, where our GPU acts as the brains of immersive digital worlds and creative applications. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work! We are seeking an exceptional Senior Software Engineering Manager to build and lead a team developing neural graphics and AI-powered rendering technologies using deep learning and GPU computing. As computer graphics undergo its most significant transformation since the invention of the GPU, you will spearhead the creation of an extraordinary engineering team that brings neural graphics innovations to production-grade graphics systems.

In this role, you will architect and scale neural graphics capability within NVIDIA's graphics organization, and enable the next generation of AI/ML-powered visual experiences. You'll foster teamwork with researchers, lead system-level platform development, and create the engineering infrastructure needed to accelerate the transition from traditional graphics to neural-driven rendering at scale. Does this sound like you? If you're passionate about pushing boundaries and want to impact computer graphics, this role offers an outstanding opportunity to invent the future of visual computing!

What you'll be doing:

+ Develop and expand a team focused on neural graphics

+ Recruit extraordinary talent in neural rendering, AI/machine learning, and differentiable programming

+ Define strategic roadmap for neural graphics across NVIDIA's platform ecosystem

+ Lead system-level integration of neural graphics technologies across multiple platforms and architectures

+ Bridge research and product teams to translate neural graphics innovations into shipping products and platforms

+ Drive partnerships with research groups and industry to advance neural graphics capabilities and ecosystem adoption

+ Establish rapid research-to-production pipelines that bring innovative techniques like world models from papers to production

What we need to see:

+ Degree in Computer Science, Computer Graphics, Machine Learning, or equivalent experience

+ 12+ overall years experience with 6+ years leading teams

+ Strong understanding of ML frameworks and AI technologies with experience applying them in production environments

+ Experience defining platform strategies across business units with demonstrated research-to-product transfers and measurable business impact

+ Excellent communication and leadership skills across research, product, and executive teams

Ways to stand out from the crowd:

+ Profound knowledge in neural graphics and AI-powered rendering

+ Extensive experience with real-time rendering and graphics platforms

+ Industry recognition as a leader with a point of view through conference presentations (ie SIGGRAPH, CVPR), awards, or contributions to graphics/AI projects

+ Experience developing developer platforms or SDKs as well as a track record building research-industry partnerships

+ Hands-on experience with neural scene representations (NeRF, 3D Gaussian Splatting), world models, or differentiable rendering optimized for real-time GPU performance

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 391,000 USD.

You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .

Applications for this job will be accepted at least until November 7, 2025.

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.