Senior Machine Learning Engineer - Humanoid Robotics Loco-Manipulation

at Nvidia
📍 Santa Clara, United States
USD 148,000-287,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Python @ 7 Algorithms @ 4 Machine Learning @ 4 TensorFlow @ 4 Leadership @ 4 Communication @ 7 Technical Leadership @ 4 PyTorch @ 4

Details

NVIDIA is seeking exceptional machine learning engineers to join world-class robotics initiatives focused on humanoid loco-manipulation. As part of the Isaac Loco-Manipulation team, you will collaborate with industry experts, contribute to robotics foundation models (including GR00T and Cosmos), and help define the future of humanoid robot capabilities.

Responsibilities

  • Collaborate with researchers and engineers to define and execute projects in humanoid robotics loco-manipulation and mobile manipulation.
  • Contribute to the development and advancement of foundation models for robotics (GR00T, Cosmos).
  • Develop reference workflows with Isaac Lab and Newton for humanoid and mobile manipulation dexterous tasks.
  • Advance technologies for robot learning and synthetic data generation using human videos.
  • Design, implement, and deploy novel algorithms for humanoid robot locomotion and manipulation in simulated and real-world environments.
  • Transfer innovations into products, delivering prototypes, open source contributions, patents, and/or publications in top conferences and journals.

Requirements

  • PhD or Master’s degree in Computer Science, Robotics, or a related field (or equivalent experience).
  • 5+ years of experience working on robotics software.
  • Strong programming skills in Python and C++.
  • Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow.
  • Experience with physics simulation tools like Isaac Sim/Lab or MuJoCo.
  • Expertise in foundation models for robotics and 3D perception.
  • Experience with sim-to-real and real-to-sim transfer in robotics.
  • Deep knowledge of robot learning, including imitation learning and reinforcement learning.
  • Hands-on experience training Vision-Language-Action (VLA) models.
  • Experience generating synthetic data for robotics applications.
  • Strong communication and collaboration skills.

Ways to stand out

  • Experience learning from human video demonstrations or human-object reconstruction.
  • Expertise in dexterous bimanual manipulation or whole-body control.
  • Proven robotics research track record with publications in top conferences (RSS, ICRA, CoRL, NeurIPS, CVPR, ICLR).
  • Demonstrated technical leadership experience.

Compensation & Benefits

  • Base salary range by level:
    • Level 3: 148,000 USD - 235,750 USD
    • Level 4: 184,000 USD - 287,500 USD
  • You will also be eligible for equity and employee benefits (see NVIDIA benefits page).

Additional information

  • Applications for this job will be accepted at least until November 16, 2025.
  • NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.