Senior Application Engineer, HPC and AI for Physics

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Create workflows for experimental processing, analysis, and numerical simulations in fields such as imaging science, plasma and high energy physics, and material science.

• Assess the application and conduct benchmarks to pinpoint bottlenecks while providing recommendations to collaborators and product teams.

• Develop examples or sample applications for use in tutorials.

• Represent NVIDIA at prominent scientific conferences, workshops, and industry events.

• Collaborate across research, engineering, and product teams.

• Convert insights gained from research partnerships into constructive feedback for engineering concerning toolkits and libraries aimed at accelerated super-resolution imaging, high energy density, plasma, and material physics.

• Assist in creating tools that benefit researchers, partners, and developers throughout the ecosystem.

⛳️ Requirements

• BS, MS, or PhD in computational, theoretical and/or experimental physics, applied mathematics, computer science, or equivalent experience.

• Over 5 years of experience in developing HPC, AI, or machine learning software for physics applications and numerical simulations.

• Extensive experience with GPU-accelerated computing and contemporary ML frameworks.

• Excellent communication abilities with both technical and non-technical audiences.

• Significant publications in HPC and AI relevant to numerical simulations, plasma physics, and imaging science.

• Profound understanding of numerical simulations, such as particle-in-cell.

• Proficiency in CUDA, parallel programming, or performance-centric software development.

• Awareness of agentic AI workflows applicable to science and discovery.

🏝️ Benefits

• Equity.

• Benefits.