[Remote] Applied Deep Learning Scientist, Geometric Deep Learning

Note: The job is a remote job and is open to candidates in USA. NVIDIA is using the power of high-performance computing and AI to accelerate digital biology. As an Applied Deep Learning Scientist, Geometric Deep Learning, you will research, implement, productize, and deliver deep learning algorithms for atomistic modeling, life sciences, drug discovery, and materials science. Responsibilities • Develop and refine deep learning algorithms related to geometric deep learning in the biological and materials sciences • Build metrics for and assist with the evaluation of model predictions and results • Stay on top of recent research and discover methods to harness new advancements, either as applied research initiatives or by directly embedding them into product development • Collaborate with multiple AI infrastructure and research teams • Seek opportunities to incorporate advances in the field and other NVIDIA products into our infrastructure Skills • 5+ years of relevant experience • Completed a MS or PhD Degree in a quantitative field such as Statistics, Physics, Computational Biology, Computer Science, Mathematics (or a related field), or equivalent experience • Expertise in deep learning and machine learning • Strong experience with Python for deep learning (PyTorch, Jax, Warp) and relevant specialized deep learning libraries (e.g., PyG, cuEquivariance, e3nn) • Experience with modeling and validation of protein sequences and/or protein structures and related tools • Recognition for technical leadership contributions, capable of self-direction, and willingness to learn from and guide others • Strong communication skills, organized and self-motivated, a phenomenal teammate • Knowledge of recent developments in geometric and/or generative deep learning models applied to biological and materials sciences, including AlphaFold3, BioEmu, GNoMe • Background with protein or small molecule or material simulation tools that use atomistic or coarse-grained interaction models such as OpenMM, GROMACS, LAMMPS, TorchSim • Experience with C/C++, CUDA, docker • Experience with open-source development • Relevant publication history and/or conference attendance Benefits • Equity • Benefits Company Overview • NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship • NVIDIA has a track record of offering H1B sponsorships, with 1877 in 2025, 1355 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job