below marketmost similar roles pay hereabove market
This role pays more than
57%
of similar roles. Most pay
$159,562–$254,000
— the blue band above.
At the midpoint, this role pays about
$216k
versus about
$207k
for comparable roles.
Based on 240 similar postings.
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
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
Research Scientist, Robotics Research - PhD New College Grad 2026 joins the Seattle Robotics Lab to advance fundamental and applied robotics research. You will develop algorithms, models, and methods for robotic manipulation and loco-manipulation across industrial and household applications. Day-to-day responsibilities include integrating these methods into real-world systems like collaborative arms, humanoids, and dexterous hands, while contributing to multi-person projects and mentoring interns. You will utilize Python, PyTorch or JAX, ROS or ROS2, and Isaac Sim or MuJoCo, with potential use of C++, CUDA, and Warp. The work focuses on solving challenges in bimanual manipulation, multisensory perception, and vision-language-action models. You will bridge the gap between research and production by transferring findings into products like Isaac Lab and the Newton physics engine.
What does a Research Scientist earn?
Median $216250 from 45 postings across 16 companies.
Develop algorithms, models, and methods for robotic manipulation and loco-manipulation for industrial and household applications.
Integrate research methods into real-world systems including collaborative arms, mobile manipulators, humanoids, and dexterous hands.
Contribute to multi-person research projects across the robotics and machine learning stack.
Publish research findings in high-impact journals and present at top robotics and AI conferences.
Transfer research into NVIDIA products by collaborating with product managers and engineering teams.
Mentor interns during their PhD programs.
Debug physics simulators, renderers, and real-world communication systems.
Design robust workflows for model training and evaluation.
What we're looking for
Complete a PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience).
Maintain a strong research track record with work published in top robotics and AI conferences and journals.
Demonstrate exceptional programming skills in Python.
Demonstrate proficiency in modern deep learning frameworks (PyTorch or JAX), robotics frameworks (ROS or ROS2), and physics simulation frameworks (Isaac Sim/Lab or MuJoCo).
Possess exceptional communication, collaboration, and interpersonal skills with significant experience working on teams.
Demonstrate ability to debug physics simulators, maintain complex robotics hardware, and design robust workflows for model training and evaluation.
Robotics
Machine Learning
Python
C++
CUDA
PyTorch
JAX
ROS2
Isaac Sim
Isaac Lab
MuJoCo
Warp
Reinforcement Learning
Imitation Learning
Sim-to-Real
Computer Vision
Foundation Models
Python
C++
CUDA
PyTorch
JAX
ROS2
Isaac Sim
Isaac Lab
MuJoCo
Reinforcement Learning
Imitation Learning
Computer Vision
Sim-to-Real
Robot Foundation Models
Warp
Deep Learning
Model Training
VLAs
Computer Vision
Deep Learning
Robotics
Reinforcement Learning
Python
PyTorch
C++
CUDA
3D Computer Vision
Real-to-Sim-to-Real
Tactile Sensing
Robotic Manipulation
Multimodal Foundation Models
LLMs
Large Vision-Language Models
Diffusion Algorithms
Action-based Transformers
PyTorch
Jax
TensorFlow
Python
C++
CUDA
Reinforcement Learning
Imitation Learning
ROS
Robot Kinematics
Model Predictive Control
MuJoCo
Isaac Sim
Whole-body Control
Python
C++
PyTorch
CUDA
Reinforcement Learning
Deep Learning
Robotics
Autonomous Vehicles
Physical AI
Parallel Programming
Simulation
Closed-loop Training
Verification and Validation
Embodied AI