NVIDIA · 2 days ago
Senior Research Scientist, Multimodal Foundation Models and Robotics
Santa Clara, CA
Full-time
Onsite
Senior Level
$192K/yr - $356K/yr
5+ years expNVIDIA is searching for an outstanding research scientist to build humanoid robot foundation models and systems in the Generalist Embodied Agent Research (GEAR) group. The role involves designing and implementing AI algorithms for humanoid robots, developing training methods for foundation models, and collaborating with teams to transfer research into products.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Hiring Manager
Joshua Hasten
Responsibilities
Design and implement novel AI algorithms and models for general-purpose humanoid robots and embodied agents
Develop large-scale AI training and inference methods for foundation models
Optimize and deploy AI models in physical simulation and on robot hardware
Collaborate with research and engineering teams across all of NVIDIA to transfer research to products and services
Qualification
Required
A Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or equivalent research experience
5 years of relevant work/research experience across one or both of these fields: Multimodal Foundation Models and Robotics
Hands-on training experience and publications in at least one of the following topics: LLMs; Large vision-language models; Video generative models and diffusion algorithms; or Action-based transformers
Outstanding engineering skills in rapid prototyping and model training frameworks (PyTorch, Jax, Tensorflow, etc.)
Python is required; C++ and CUDA proficiencies are a big plus
Excellent skills in working with large-scale machine learning/AI systems and compute infrastructure
Hands-on training experience and publications in robot learning, such as reinforcement learning, imitation learning, classical control methods, etc
Strong programming skills in Python, C++, ROS, and machine learning frameworks like PyTorch
Deep understanding of robot kinematics, dynamics, and sensors
Ability to safely operate robot hardware, lab equipment, and tools
Knowledge of control methods, including PID, model predictive control, and whole-body control
Familiarity with physics simulation frameworks such as MuJoCo and Isaac Sim
Robot hardware design and hands-on building experience
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
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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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