Note: The job is a remote job and is open to candidates in USA. NVIDIA is looking for an outstanding senior software engineer to join their endeavor to accelerate quantum chemistry on NVIDIA GPUs through the cuEST library. The role involves architecting, implementing, optimizing, and deploying production-grade GPU solutions for quantum chemistry, while collaborating with broader engineering teams and engaging with the quantum chemistry community.
Responsibilities
- You and your teammates will own every part of the engineering mission of cuEST - from idea to shipped CUDA-X library
- You will architect, implement, optimize, productize, and deploy production-grade GPU solutions for quantum chemistry library primitives in a collaborative environment. This includes technical leadership of specific code modules and general team-based contribution to engineering projects
- Collaborating across broader engineering, product, and program organizations, you will take the developed products to market with a strong focus on partner and customer engagement
- Engaging with the broader quantum chemistry community, contributing knowledge that helps drive adoption of GPU-accelerated quantum chemistry and carrying new developments from the field back to your teammates to accelerate our work
Skills
- 10+ years of experience in developing high performance numerical methods for scientific computing
- 5+ years of experience in developing production-grade quantum chemistry packages
- PhD or equivalent experience in computational physics, computational chemistry, computer science, or related technical fields
- Expert knowledge of GPU software development and performance optimization
- Proficiency in C++, CUDA, and common quantum chemistry tools
- Adept with lean team-based software engineering, including familiarity with the use of agentic AI to boost the speed and quality of delivered software products
- Outstanding knowledge of high-performance Gaussian quantum chemistry primitives in extended simulation conditions, such as periodic boundary conditions, response properties, larger molecular systems, or Gaussian integral technology
- Experience with high-performance accelerator algorithm design, including use of tensor cores, floating point emulation, and mixed precision algorithms to unlock the potential of each accelerator
Benefits
- You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).
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