Senior Manager, Software Engineering – Robotics Manipulation

NVIDIA

Senior Manager leading robotics manipulation team for NVIDIA's AI-driven robotics platform. Overseeing team building, strategy, and collaboration with industry partners.

Posted 7/10/2026full-timeCalifornia, Colorado, North Carolina, Texas, Virginia • 🇺🇸 United StatesSenior💰 $272,000 - $431,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in robotics software engineering, including manipulation, motion planning, and control, while effectively leading and mentoring high-performing teams. Proficient in GPU-accelerated computing and modern machine learning infrastructure to drive innovative solutions in real-world applications.

Highest-signal resume keywords

Robotics Software EngineeringTeam Leadership and MentoringMotion Planning and ControlGPU-Accelerated ComputingC++ and Python Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Robotic ArmsManipulationPhysics-Based ControlMotion PlanningPerception-Guided ManipulationCUDAPyTorchSimulationEdge InferenceSoftware Engineering Fundamentals

Soft Skills

CollaborationCommunicationMentoringTechnical LeadershipCustomer Engagement

Tools & Technologies

NVIDIA GPUsJetsonIsaac SimIsaac GR00TCosmos

Industry Keywords

RoboticsMachine LearningManufacturingLogisticsAssemblySystem IntegrationDeveloper CommunityTechnical ArchitectureProduct ManagementResearch to Productization

Tech Stack

Tools & technologies

AssemblyPythonPyTorch

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.

Benefits

Comp & perks

equity
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