mundane · 1 day ago
engineering manager, embodied systems
Mundane is a venture-backed seed-stage robot learning startup focused on deploying humanoid robots for mundane tasks. The Engineering Manager will lead multi-disciplinary programs essential to the robot deployment stack, ensuring operational reliability and efficiency across the company.
Information Technology & Services
Responsibilities
Lead multi-quarter, company-critical programs across controls, perception, teleoperation, networking, safety, and hardware integration
Architect execution frameworks, program structures, and reliability validation processes for large-scale multi-robot deployment
Translate high-level strategic goals into technical requirements, system milestones, and detailed engineering roadmaps
Establish disciplined release management, version control workflows, and readiness gates for pushing updates to the humanoid fleet
Oversee robot bring-up lifecycles, sensor + actuator validation, calibration workflows, and system-level regression testing
Drive root-cause analysis across hardware, software, middleware, and networked systems—coordinating teams to closure
Create scalable telemetry, reliability tracking, and field operations dashboards to measure system performance at fleet scale
Partner with ML, controls, and perception teams to integrate new models, ensuring production stability and predictable behavior
Serve as an engineering “force multiplier” — unblocking teams, clarifying decisions, aligning priorities, and creating execution cohesion
Represent Embodied Systems in cross-company strategy discussions, bridging research ambitions with deployment realities
Qualification
Required
7+ years of experience in robotics, autonomous systems, embedded systems, or large-scale technical program management
Demonstrated success leading complex system programs across multiple engineering disciplines
Strong technical fluency: ROS/ROS2, distributed systems, middleware, networking, sensors, controls, hardware/software integration
Hands-on comfort working with robotic platforms: reading logs, inspecting bag files, orchestrating test runs, and guiding debugging
Proven ability to design engineering processes that improve reliability, velocity, and cross-team coordination
Excellent communication and leadership skills, especially in high-speed, ambiguity-heavy environments
Experience working with or supporting field deployments of hardware systems is a major plus
Preferred
Experience building or managing teleoperation, VR remote control, or low-latency networking systems
Background in motion planning, real-time control, robot learning, or ML infrastructure
Experience scaling robotic or autonomous vehicle systems across large fleets
Benefits
Flexible PTO
Legendary merch
Coffee
Robots
Sauna & cold plunge (pending)
Company
mundane
founded by Stanford robotics researchers, we're building humanoids that are useful beyond just lab demos, but in actual real-world deployments.
Funding
Current Stage
Early StageCompany data provided by crunchbase