Senior Application Engineer, HPC and AI for Physics
Nvidia
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1,868 open application roles across 266 companies are on ApplySarthi right now, most of them in Bengaluru (118), Hyderabad (86), Delhi NCR (49).
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What application roles keep asking for: Python (16%), Agile (15%), Java (15%) — counted across their open postings here.
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Interviews for application roles keep coming back to Python, Agile, Java. Practise those questions before you sit with Nvidia.
Questions you are likely to be asked
- Why do you want to join Nvidia?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
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Practise the Senior Application Engineer, HPC and AI for Physics at Nvidia interview free →We are building the software infrastructure for the next era of scientific discovery. At NVIDIA, we believe AI will transform how new physics for plasmas, lasers, and materials at extreme conditions are discovered. We are developing software tools to make it possible! We are looking for a Senior Application Engineer who is passionate about HPC+AI for numerical simulations, and physics translating complex research into software that scientists use for real discovery. You will work across research, engineering and product teams. You will 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. What you’ll be doing: 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. What we need to see: 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. Ways to stand out from the crowd: 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. We work on problems that matter, and with teams that highly value technical excellence. This role offers the chance to construct a software stack for physics algorithms, numerical simulations, data processing/analysis that is supported by advanced computing. You will help craft tools that support researchers, partners, and developers across the ecosystem. It is an opportunity to build technology that can accelerate discovery at global scale! #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until August 29, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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Listed on workday · posted 2026-10-30. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.