Senior HPC+AI Engineer for Scientific Discovery (Hybrid)

NVIDIA Corporation; California (MO); Hybrid; USD 140,000 - 270,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Application Engineer to advance HPC+AI software for physics and numerical simulations. You will translate research insights into practical tools used by scientists across imaging science, plasma physics and materials research.

You’ll collaborate with research, engineering and product teams, profile applications, run benchmarks, and build tutorials. The role emphasizes GPU-accelerated computing, CUDA, and scalable software development in a hybrid work environment.

Qualifications

• BS, MS, or PhD in computational, theoretical and/or experimental physics, applied mathematics, computer science or equivalent experience.
• 5+ years building HPC, AI or ML software for applications in physics and numerical simulations.
• Strong experience with GPU-accelerated computing and modern ML frameworks.
• Strong communication skills across technical and non-technical audiences.
• Familiarity with CUDA, parallel programming, or performance-focused software development.

Responsibilities

• Develop workflows for experimental processing/analysis and numerical simulations with applications in imaging science, plasma and high energy physics, and material science.
• Profile the application and run benchmarks to identify bottlenecks and suggestion recommendations to collaborators and product teams.
• Build examples or sample applications for tutorials.
• Represent NVIDIA at leading scientific conferences, workshops, and industry events.

Skills

5+ years HPC/AI software for physics

GPU-accelerated computing

Communication across audiences

CUDA/parallel programming

Agentic AI workflows for science

Education

BS/MS/PhD in physics, math, CS or equivalent

Tools

CUDA

Parallel programming

Performance-focused software

Job description

NVIDIA is seeking a Senior Application Engineer to advance HPC+AI software for physics and numerical simulations. You will translate research insights into practical tools used by scientists across imaging science, plasma physics and materials research.

You’ll collaborate with research, engineering and product teams, profile applications, run benchmarks, and build tutorials. The role emphasizes GPU-accelerated computing, CUDA, and scalable software development in a hybrid work environment.