- Company Name
- NVIDIA
- Job Title
- Research Scientist, Robotics Research - New College Grad 2025
- Job Description
-
Job title: Research Scientist, Robotics Research – New College Grad 2025
Role Summary:
Conduct fundamental and applied research in robotics, focusing on perception, planning, control, learning, and simulation to enable manipulation and locomotion capabilities across industrial and household platforms. Drive the transfer of research outputs into products and contribute to high‑impact publications and collaborations with engineering teams.
Expectations:
- Deliver novel algorithms, models, and methods for robotic manipulation and loco‑manipulation.
- Integrate solutions into real‑world robotic systems (collaborative arms, mobile manipulators, humanoids, dexterous hands).
- Publish in top robotics and AI venues (RSS, CoRL, ICRA, IROS, NeurIPS, CVPR, etc.).
- Mentor and guide PhD interns.
- Collaborate with product managers and engineering staff to transform research into production tools.
Key Responsibilities:
- Design and implement algorithms for bimanual/dexterous manipulation, mobile manipulation, and humanoid loco‑manipulation.
- Develop multisensory perception models (vision, tactile, force/torque).
- Execute simulation, sim‑to‑real, and real‑to‑sim studies using Isaac Sim/Lab, MuJoCo, or similar engines.
- Create and maintain end‑to‑end pipelines for model training, evaluation, and deployment.
- Debug complex simulation and physical hardware systems; resolve communication and rendering issues.
- Present findings at conferences, workshops, and through open‑source releases.
- Support the application of Vision‑Language‑Action (VLA) models to robotics tasks.
Required Skills:
- Proven research record with publications in leading robotics/AI conferences and journals.
- Strong programming in Python; expertise in PyTorch or JAX.
- Proficiency with robotics frameworks (ROS or ROS2) and physics simulation engines (Isaac Sim/Lab, MuJoCo).
- Familiarity with C++, CUDA, and GPU‑accelerated development is a plus.
- Excellent communication, collaboration, and interpersonal abilities.
- Ability to troubleshoot and optimize both simulated and real robotic systems.
- Experience designing robust training and evaluation workflows.
Required Education & Certifications:
- PhD (or equivalent experience) in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a closely related field.