As a Senior Research Scientist in NVIDIA’s Generalist Embodied Agent Research (GEAR) group, you will contribute to groundbreaking work on multimodal foundation models and robotics, focusing on designing AI algorithms for humanoid robots and embodied agents. Your daily tasks include implementing large-scale training methods, optimizing models for physical simulation and robot hardware, and collaborating with cross-functional teams to translate research into practical applications. Ideal candidates hold a Ph.D. in Computer Science/Engineering or equivalent experience, with expertise in either multimodal foundation models—requiring hands-on experience with LLMs, vision-language models, video generative algorithms, and action-based transformers—or robotics, involving deep knowledge of robot kinematics, dynamics, control methods, and simulation frameworks like MuJoCo and Isaac Sim. This role demands proficiency in Python, C++, CUDA, ROS, and machine learning frameworks such as PyTorch and Jax, alongside a commitment to advancing the field of autonomous systems.
Skills
Python
PyTorch
Jax
Tensorflow
C++
CUDA
ROS
MuJoCo
Isaac Sim
Reinforcement Learning
Imitation Learning
PID Control
MPC
Whole-Body Control
Robot Kinematics
Robot Dynamics
Sensor Integration
What you'll do
Design and implement novel AI algorithms for general-purpose humanoid robots.
Develop large-scale training methods for multimodal foundation models.
Optimize and deploy AI models in physical simulations and on robot hardware.
Collaborate with cross-functional teams to transfer research into products.
Conduct hands-on training and develop publications in advanced AI topics.
What we're looking for
Ph.D. in Computer Science/Engineering or equivalent research experience.
5 years of relevant work/research experience in multimodal foundation models or robotics.
Hands-on training experience and publications in LLMs, vision-language models, video generative models, or action-based transformers.
Proficiency in Python, C++, CUDA, ROS, PyTorch, Jax, TensorFlow, and other ML frameworks.
Strong skills in large-scale machine learning systems and compute infrastructure.
Deep understanding of robot kinematics, dynamics, sensors, and control methods.
Market check
Salary context
This
$192,000–$304,750
range sits above
81%
of similar postings on FindRole.
Peer median band
$164,800–$246,900
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$172,375–$246,150
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
802 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 798 roles with salary data.
Us, Ca, Santa Clara, US27 days ago
$192,000–$304,750
Python
PyTorch
Jax
Tensorflow
C++
CUDA
ROS
MuJoCo
Isaac Sim
Reinforcement Learning
Imitation Learning
PID Control
MPC
Whole-Body Control
Robot Kinematics
Robot Dynamics
Sensor Integration
Us, Ca, Santa Clara, US139 days ago
$224,000–$356,500
PyTorch
TensorFlow
JAX
Kubernetes
Python
C++
CUDA
SLURM
HPC
GPU
Distributed Systems
Multimodal Data Processing
Monitoring Tools
Debugging Tools
Large Scale Clusters
CI/CD