Artificial Intelligence (AI) is revolutionizing the discovery of new materials and chemicals across various industries ranging from supercomputing, higher education, manufacturing, semiconductors, energy storage, climate science and agriculture.

We are looking for a creative and hard working individual who is ready to work with top industry and academic researchers combining generative and predictive AI models to accelerate the discovery and design of novel molecules and materials for applications such as the development of efficient batteries, renewable energy, environment-friendly polymers, improved industrial catalysts, and more. Do you find it exciting to help collaborators solve problems relating to AI for computational simulation and generative AI? If you find converting a small proof-of-concept into an inspiring solution for the larger community exciting, and you enjoy working hard in a team oriented environment, then we encourage you to apply!

What you’ll be doing:

• 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.

What We Need To See:

• Masters or PhD 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 TensorFlow, PyTorch, 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.

Ways to Stand Out from the Crowd:

• Primary contributions to cornerstone research papers or open-source projects involving AI or GenAI 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.

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.

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.

You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) . NVIDIA accepts applications on an ongoing basis.

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.