NVIDIA · 1 hour ago
Applied Deep Learning Scientist, Geometric Deep Learning
US, CA, Santa Clara
Full-time
Onsite
Senior Level
$168K/yr - $305K/yr
5+ years expNVIDIA 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.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
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
Qualification
Required
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
Preferred
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
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
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Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
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