• Interact directly with industrial customers and researchers to adopt NVIDIA's platform for accelerating their AI driven workflows or models.
• Profile AI applications/models, run benchmarks to identify bottlenecks and make recommendations on possible solutions.
• Build proof-of-concepts and examples that can be used in joint collaborations with customers, demos and tutorials.
• Collaborate with researchers and customers on whitepapers and with product teams on technical blogs.
• Help to scope and define the road map for new features in NVIDIA's AI libraries, SDKs, and frameworks software stack.
• Participate and present in the top AI/ML workshops and industry conferences.

• Masters or Ph D in computational physics, computational chemistry, materials science, computer science or equivalent experience.
• 5+ years hands-on experience developing, optimizing and running AI/ML models on GPU accelerated platforms for chemistry and/or materials applications.
• Experience working in high performance computing (HPC) and understanding of GPU architectures.
• Excellent coding skills in common language (e.g., C++) and hands-on experience with deep learning frameworks such as Tensor Flow, Py Torch, or similar.
• Strong communication skills to explain sophisticated technical concepts to a broad audience.
• Good debugging skills and the ability to fix and address technical issues effectively.
• Technical communication skills, or equivalent such as writing papers and proposals.
• Ability to work independently and as part of a globally distributed team.

• Primary contributions to cornerstone research papers or open-source projects involving AI or Gen AI for chemistry and materials science applications.
• Experience in developing and optimizing AI applications for performance and scaling.
• Proven contributions to the development of computational AI workloads used in industry and academia.
• Familiarity with NVIDIA’s AI tools and technologies, including CUDA or Warp.

The base salary range is 132,000 USD - 258,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. NVIDIA is committed to fostering a diverse 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.