Senior Applications Engineer, AI for Material Science and Chemistry
Nvidia
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This role on the market
336 open applications roles across 92 companies are on ApplySarthi right now, most of them in Bengaluru (17), Hyderabad (8), Pune (3).
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What applications roles keep asking for: Python (15%) — counted across their open postings here.
Applications Engineer jobs in the United States · C++ jobs · Python jobs
Nvidia has 2,348 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
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- 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 Applications Engineer, AI for Material Science and Chemistry 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 chemicals and materials are discovered. We are developing the software tools to make that possible! NVIDIA ALCHEMI is a key pillar of this stack, and this role will help shape ALCHEMI and the broader software ecosystem around it. We are looking for a senior application engineer with background in material science codes to accelerate AI-driven simulations for materials discovery. You will turn the latest research into software that scientists use for real discovery. You will work across research, engineering, and product teams in building software tools for materials science and chemistry bridging traditional simulations and AI surrogates. What you will be doing: Collaborate with some of the brightest minds in computational chemistry and AI to develop new tools and features in NVIDIA ALCHEMI to enable developers and researchers with performant atomistic simulation workflows. Work directly with a customer or developer, guiding them how to integrate material science applications with AI surrogates using NVIDIA ALCHEMI into their workflows. Profile the application and run benchmarks to show the product’s value proposition. Collaborate with subject matter experts on whitepapers and research. Engage and participate in workshops focussed on the intersection of material science and AI. What we need to see: PhD or equivalent experience in computational physics, computational chemistry, computer science, or related technical fields 8+ years of experience or demonstrable expertise in developing high performance numerical methods for scientific computing or material science applications Experience in running material science simulations on large scale HPC systems Ability to work independently and as part of a globally distributed team. Proficiency in Fortran, C++, CUDA, Python and common Material Science tools Ways to stand out from the crowd: Outstanding knowledge of high-performance plane waves primitives response properties, high throughput screening, Experience with high-performance accelerator algorithm implementation, runtime performance optimization, usage of floating point emulation, and mixed precision libraries. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 19, 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 2026-09-15. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.