NVIDIA is a world-leader in high speed computer vision, artificial intelligence, and deep learning. Our team builds the accelerated software ecosystem that enables visual AI developers to innovate swiftly and efficiently at scale.

We are now looking for an outstanding CUDA developer to build developer-facing libraries and services that will accelerate the development of autonomous vehicles, humanoid robots, XR, and manufacturing. The right candidate will combine deep experience with the 3D application domain with strong collaboration and passion for efficient, well-crafted software. Looking for a chance to make gaussian splatting, NERFs, and more run exceptionally fast on enormous volumes of data? This could be it!

What you'll be doing:

• Partner with research and product teams to identify common requirements, consolidate our best 3D software and algorithms, and productize solutions.

• Implement and improve point cloud, voxel, neural rendering (NERF, Gaussian Splatting) and other computer vision algorithms using CUDA.

• Establish and drive product-critical performance and quality metrics.

• Profile, debug, and optimize multi-petabyte computer vision workloads for efficiency, latency, and throughput.

• Contribute to large codebases combining custom C++ and Python with distributed architectures (microservices, Kubernetes, Triton) to deliver computer vision at scale.

What we need to see:

• Master's of Science in Computer Science, Electrical engineering, or Physics or equivalent experience.

• 10+ years of practical experience

• Excellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization, release). Proven track record developing, testing and releasing production-grade, complex software.

• Proficiency with C++, CUDA, and Python

• Broad experience building 3D computer vision libraries and applications.

• Strong fundamentals with multi-threaded and distributed software development.

• Grounding in mathematics including linear algebra, numerical methods, statistics, and exploratory data analysis.

• Pragmatism to efficiently bring meaningful products to market and persistence to improve them over time.

• Strong collaboration skills to partner with researchers, application developers, and infrastructure and MLOps teams.

• Ability and desire to learn new technologies.

Ways to Stand Out from the Crowd:

• Familiarity with common deep learning frameworks such as PyTorch, OnnxRT, or JAX

• Current with the latest work in Gaussian Splatting and NERF. Armed with opinions and insight on how to combine these approaches with classic computer vision and graphics methods for outstanding results.

• Experience with 3d graphics and ray tracing

• History of creativity and innovation around computer vision including patents and publications

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.