1 day ago
Base Salary
$168k - $322k/yr
Responsibilities
- Develop tools and features in NVIDIA ALCHEMI for performant atomistic simulation workflows.
- Guide customers or developers in integrating materials science applications with AI surrogates into their workflows.
- Profile applications and run benchmarks to demonstrate product value.
- Collaborate with subject matter experts on whitepapers and research.
- Participate in workshops focused on materials science and AI.
Requirements
- PhD or equivalent experience in computational physics, computational chemistry, computer science, or a related technical field.
- 8+ years of experience or demonstrable expertise developing high-performance numerical methods for scientific computing or materials science applications.
- Experience running materials science simulations on large-scale HPC systems.
- Proficiency in Fortran, C++, CUDA, Python, and common materials science tools.
- Ability to work independently and as part of a globally distributed team.
- Preferred experience with high-performance plane-wave primitives, response properties, high-throughput screening, accelerator algorithm implementation, runtime performance optimization, floating-point emulation, and mixed-precision libraries.
Benefits
- Competitive salary and generous benefits package.
- Eligible for equity and benefits.
- Applications accepted at least until September 19, 2026.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.