Senior Applied Research Scientist – GPU Native Numerical Algorithms

NVIDIA pioneered accelerated computing. Today, we are building software, systems, and research platforms that help scientists and engineers solve problems that were once out of reach. We are looking for an Applied Research Scientist to join our computational engineering applied research team! In this role, we will work together to design GPU-native numerical methods that make engineering simulation faster, more reliable, and easier to use across NVIDIA platforms, while providing the numerical foundations for emerging AI-native engineering algorithms. You will explore solver algorithms, build research prototypes, compare approaches on representative workloads, and help move promising ideas into software used by researchers, engineers, and partners. The goal is not simply to port established CPU algorithms, but to rethink methods around massive parallelism, hierarchical memory, reduced synchronization, mixed precision, tensor-core computation, and multi-GPU systems.

This role connects numerical analysis, accelerated computing, production-minded software engineering, and the co-design of future AI-native engineering methods. We are interested in candidates who enjoy working across math, code, hardware, and real engineering applications. Come help us shape the future of simulation on GPUs!

What you'll be doing: We work as a team, and you will help us:

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