NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are in search of an outstanding Software Engineering Manager to guide the transition from traditional graphics to neural-based approaches. This is a rare opportunity to collaborate with researchers, develop system-level processes, and build engineering structure for sophisticated neural rendering techniques. If you are passionate about inventing new ways for AI to power the future of visual computing, come join us!
What You'll Be Doing
- Develop and expand a team passionate about neural graphics. Able to manage a diverse team across different geographies and able to participate in meetings across global timezones
- Recruit outstanding talent in neural rendering, machine learning, and differentiable programming
- Develop a technology roadmap for neural graphics throughout NVIDIA's platform ecosystem, focus on integrating Slang as the preferred neural language
- 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. Be able to work with multiple teams across the globe to achieve common goals.
- Drive partnerships with research groups and industry to advance neural graphics capabilities and ecosystem adoption
- Establishing rapid research-to-production processes by using Slang as the foundational platform
What We Need To See
- Degree in Computer Science, Computer Graphics, Machine Learning, or equivalent experience
- Proven experience in Deep Learning, Generative AI, Diffusion Models.
- 8+ overall years work experience with 3+ 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
- Able to transform and lead teams through changes in technology focus and/or adoption of genAI/LLMs into day-to-day production
Ways To Stand Out From The Crowd
- Expert knowledge in neural graphics and AI-powered rendering
- Track record of shipping products with real-time rendering and graphics platforms
- Experience developing developer platforms or SDKs
- Track record taking research projects and ramping them to production
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