Senior Manager, Software Engineering - Robotics Manipulation

About the role

NVIDIA is the engine of modern AI, and robotics is where AI meets the physical world. The Isaac robotics platform — spanning Isaac Sim, Isaac Lab, Isaac ROS, the foundation models behind Isaac GR00T, and the accelerated libraries that run on Jetson and in the data center — is how the world’s developers and industrial leaders build intelligent robots.

We are looking for an exceptional engineering leader and manager to head up Isaac for Manipulation: giving robotic arms and dexterous systems the perception, grasping, motion, and learned skills they need to do real, impactful work. You will be responsible for the strategy, roadmap, and execution for Manipulation — turning hard, contact-rich problems in manufacturing, logistics, and industrial automation into shipping capabilities that our partners and developers can build on. This is a high-visibility role with direct line of sight to the most consequential problems in robotics today. You will grow and mentor a team of world-class robotics and machine-learning engineers, set a bold technical direction, and partner deeply with the robot-arm and industrial-automation ecosystem to make NVIDIA the default platform for robotic manipulation.

What you’ll be doing:

- Lead the Isaac Manipulation team. Recruit, grow, and mentor a high-performing team of robotics software engineers; set direction, raise the technical bar, and manage the team’s health, velocity, and delivery.

- Shape the roadmap. Collaborate with Product Management to define and drive the strategy and roadmap for grasping, motion planning and control, perception-for-manipulation, and learned manipulation policies — from research to productized, supported platform capabilities.

- Apply creative solutions to real industrial problems. Translate the hardest contact-rich manipulation tasks in manufacturing, logistics, assembly, and machine tending into robust capabilities that work in the real world, not just the lab.

- Bridge research and product. Partner with NVIDIA Research, the Isaac Sim/Lab teams, and foundation-model teams (e.g., Isaac GR00T, Cosmos) to bring sim-to-real, imitation, and reinforcement learning approaches into the platform and onto physical arms.

- Engage partners and developers. Serve as a technical face of Isaac Manipulation to robot-arm OEMs, system integrators, and the developer community — gathering requirements, running joint engineering, and ensuring our APIs and tools meet real workflows. Support our ecosystem of developers through responsible migration handling of their solutions built on our durable platform.

- Leverage accelerated compute. Drive architecture and execution that fully uses NVIDIA GPUs, CUDA, and the accelerated-computing stack across simulation, training, and on-robot inference on Jetson and edge platforms.

- Deliver. Drive planning and execution of complex, multi-functional programs; own quality, performance, and the real-world deployment of learned policies and manipulation stacks on physical robots.