Senior Manager, Software Engineering - Robotics Manipulation at NVIDIA

Department: Mgmt, Sys SW

Compensation

$272,000 – $431,250/yr

Setup: On-site
Location: California · Austin, Texas · +4
Type: Full-time
Level: lead/mgmt
Posted: Jul 9, 2026

Description

NVIDIA is hiring an Engineering Leader and Manager for Isaac Manipulation to lead the strategy, roadmap, and execution of robotic-arm and dexterous-system manipulation capabilities. The role will recruit and mentor robotics and machine-learning engineers, define grasping, motion planning, control, perception, and learned-manipulation capabilities, bridge research and product, partner with robot-arm OEMs and developers, and deliver GPU-accelerated, real-world manipulation systems. Candidates need a relevant advanced degree or equivalent experience, at least 12 years of robotics or robotics-adjacent experience including 3 years leading engineering teams, and expertise in robotic manipulation, accelerated computing, modern software, and industrial automation. The base salary is 272,000 USD to 431,250 USD for Level 4 and 320,000 USD to 488,750 USD for Level 5, with equity and benefits; applications were accepted until July 13, 2026.

Required Skills

Robotic arms
Motion planning
Control
Perception-guided manipulation
CUDA
PyTorch
C++
Python
Imitation learning
Reinforcement learning
ROS 2

Additional Information

Minimum Education: Bachelor's, master's, or PhD degree in Robotics, Computer Science, Electrical or Mechanical Engineering, or a related field, or equivalent experience
Required Previous Experiences: At least 12 years of relevant industry experience building robotics or robotics-adjacent systems
At least 3 years leading, mentoring, and managing engineering teams
Hands-on expertise in robotic arms, manipulation, physics, grasping, motion planning, control, and perception-guided manipulation
Working understanding of GPU-accelerated computing and modern machine-learning infrastructure
Experience working with external partners, customers, and developer communities
Strong software engineering fundamentals in modern C++ and Python
Preferred Qualifications: Experience building manipulation or industrial automation products at an established robot-arm company or manipulation startup
Experience building developer-facing or low-code platforms and tooling across multiple robot-arm brands
Deep experience with imitation learning, reinforcement learning, sim-to-real transfer, or manipulation foundation models
Contributions to ROS 2, ros2_control, MoveIt, or the broader robotics open-source and standards community
Experience starting or scaling a product or team from the ground up