Engineering Manager – Humanoid Loco - manipulation

Engineering Manager For Isaac Loco-Manipulation Team

NVIDIA is seeking an Engineering Manager to lead our machine learning engineers within the Isaac Loco-Manipulation team. You will manage a group of world-class robotics researchers and engineers focused on advancing humanoid loco-manipulation and mobile manipulation, shaping the future of intelligent robotics.

What You'll Be Doing:

• Lead, mentor, and grow a high-performing team of applied research engineers focused on humanoid loco-manipulation and mobile manipulation.
• Drive the definition, planning, and execution of projects involving foundation models (GR00T, Cosmos), Isaac Lab, and Newton workflows.
• Guide the team in advancing robot learning technologies and synthetic data generation from human video datasets.
• Hands-on design, implementation, and deployment of novel algorithms for humanoid robot locomotion and manipulation in simulation and real-world environments.
• Ensure seamless integration of applied research outputs with NVIDIA's advanced robotics platforms.
• Foster a culture of innovation and collaboration, supporting deliverables such as prototypes, open source software contributions, patents, and publications in top conferences and journals.
• Collaborate cross-functionally with product, hardware, and software teams to translate research into impactful products.
• Support career development, performance management, and recruitment of top talent.

What We Need To See:

• Advanced degree (PhD or Master's) in Computer Science, Robotics, or a related field.
• 2 years of experience on technical leadership or team management in robotics, autonomous driving, machine learning, or related domains.
• Strong hands-on programming skills in Python and C++; experience with deep learning frameworks (PyTorch, JAX, TensorFlow) and physics simulation tools (Isaac Sim/Lab, MuJoCo).
• Excellent communication, organizational, and interpersonal skills.
• Experience with large-scale model training on GPU clusters.
• Hands-on experience on robotics simulation, sim-to-real and real-to-sim transfer.
• 5+ overall years of experience working on robotics technologies.

Ways To Stand Out From The Crowd:

• Leadership in projects involving foundation models for robotics, including Vision-Language-Action (VLA) or Vision-Language Models (VLM).
• Experience with learning from human video demonstrations and human-object reconstruction.
• Expertise in humanoid loco-manipulation, encompassing whole-body control, dexterous and bimanual manipulation, and locomotion.
• Advanced knowledge in robot learning and reasoning, including imitation and reinforcement learning.
• Experience generating synthetic data for robotics applications.