Senior Manager, Software Engineering – Robotics Manipulation

Responsibilities

• 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
• 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
• 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
• 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
• 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
• 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
• 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
• Represent manipulation in platform‑level technical and business decisions, and help shape where NVIDIA invests across the robotics stack

• BS, MS, or PhD in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related field (or equivalent experience)
• 12+ total years of relevant industry experience building robotics or robotics‑adjacent systems, including 3+ years leading, mentoring, and managing engineering teams
• Hands‑on expertise with robotic arms, manipulation, and physics from grasping, motion planning (across both numerical optimization and sampling‑based approaches), and control (including force/impedance and contact‑rich control) to perception‑guided manipulation
• Working understanding of GPU‑accelerated computing and modern ML infrastructure, and how to architect robotics software to take advantage of it (CUDA, PyTorch, GPU‑accelerated simulation, edge inference)
• Demonstrated ability to work directly with external partners, customers, and developer communities and to translate their needs into roadmap and shipping product
• Strong software engineering fundamentals (modern C++ and Python) and the ability to engage substantively in technical and architectural decisions with your team.