vp, embodied systems

Mundane is a venture-backed seed-stage robot learning startup founded by a team of Stanford researchers and builders. We’re deploying a massive fleet of humanoid robots to perform mundane tasks in commercial environments, collecting data to build the next generation of embodied intelligence. We’re a fast-paced, execution-driven team of engineers, roboticists, and dreamers. About the Role As Director of Embodied Systems , you’ll bridge the gap between research and deployment — owning the systems, infrastructure, and processes that turn experimental robot behaviors into production-ready capabilities. You’ll lead efforts in systems integration, fleet management, networking, and large-scale testing to ensure our humanoid robots perform reliably across dynamic environments. You’ll be the connective tissue between R&D and real-world deployment — building the frameworks that make learning-driven robotics scalable, safe, and measurable. This is a hands-on leadership role: you’ll architect the deployment stack, guide cross-functional teams, and shape the strategy for how Mundane brings embodied intelligence into the wild. Responsibilities Oversee the transition of robot learning research into robust deployable systems across our humanoid fleet. Design and implement frameworks for fleet management, network reliability, and real-time monitoring . Lead systems integration across software, hardware, and cloud infrastructure to ensure seamless operation. Develop and maintain testing pipelines and simulation-to-reality validation frameworks for large-scale deployments. Deep familiarity with ROS and middleware architectures , including custom node development, message passing, and distributed control. Collaborate with ML, controls, and perception teams to integrate new models into production robots. Drive the continuous improvement of field reliability, latency, and data collection efficiency. Build and manage a high-performing development and testing team, fostering tight feedback loops between research and deployment. Establish best practices for deployment safety, telemetry, and debugging in complex, multi-robot environments. Qualifications 5+ years of experience in robotics, autonomous vehicles, or large-scale systems deployment . Proven track record in systems integration, fleet operations, or networked robotics . Strong programming experience in C++ and Python ; familiarity with ROS2 , distributed systems, and real-time data pipelines. Deep understanding of hardware/software integration , network architecture , and deployment automation . Experience leading technical teams and managing cross-functional development cycles. Exceptional debugging, reliability, and systems design skills. Bonus Experience with VR teleoperation or remote control systems. Background in robotic controls or motion planning . Familiarity with machine learning or robot learning frameworks . What You’ll Get Ownership of the development stack powering humanoid deployment at scale. A leadership seat at the intersection of robotics research and production systems. Early equity with meaningful upside in a venture-backed robotics company. The ability to ship features to live robots in weeks, not quarters. Deep exposure to every layer of the stack — hardware, controls, perception, ML, and fleet ops. A chance to define how embodied intelligence moves from lab to world. Our Privacy Policy Our privacy policy is available at: Seniority level Director Employment type Full-time Job function Engineering and Information Technology #J-18808-Ljbffr mundane