Senior Application Engineer, HPC and AI for Physics

🕒 August 26

🏄 California, Illinois – Remote

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💵 $140k - $270.3k / year

⏰ Full Time

🟠 Senior

💻 Application Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 5%

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Logo of NVIDIA

NVIDIA

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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 suggest recommendations to collaborators and product teams • Build examples or sample applications for tutorials • Represent NVIDIA at leading scientific conferences, workshops, and industry events • Work across research, engineering and product teams • Translate learnings from research collaborations into feedback to engineering on toolkits and libraries for accelerated super-resolution imaging, high energy density, plasma, and material physics • Help craft tools that support researchers, partners, and developers across the ecosystem

🎯 Requirements

• BS, MS, or PhD in computational, theoretical and/or experimental physics, applied mathematics, computer science or equivalent experience • 5+ years building HPC, AI or machine learning 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 • High-impact publications in HPC and AI for numerical simulations, plasma physics and imaging science • Deep understanding of numerical simulations such as particle-in-cell • Experience with CUDA, parallel programming, or performance-focused software development • Familiarity with agentic AI workflows for science and discovery

🏖️ Benefits

• Equity • Benefits

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