Mind Robotics is building Physical AI for real-world industrial deployment, starting with the factory floor. We believe the hardest problems in AI are solved when researchers and engineers are hands-on with the physical world every day - and we're looking for people who are passionate about robotics, value ownership, and are excited to tackle difficult problems. Join us if you want to move beyond digital intelligence and put intelligence into motion.
Program Management at Mind is an operational catalyst. We own outcomes, drive the trade-offs that keep engineering moving, and set the metabolic rate of the teams we partner with — clearing roadblocks, closing stalled decisions, carrying risk upward, and protecting the focus engineers need to build. As a Hardware Program Manager you will own the integrated program plan across all of hardware and build the practice itself: how teams define their own milestones and commit to org-level ones, how we know week over week whether we are on or off track, and how problems surface early enough that we can still do something about them. You will partner directly with the industrial design, software, and data teams so that our plans collectively roll up to meet our goals of deployed robots doing real work.
Responsibilities:
End-to-End Planning: Own the overall plan for development of our robot — including subsystem plans and investigations across mechanical, electrical, compute, actuation, and sensor systems.
Technical/Business Grounding: Engage directly in architecture and design discussions at a depth sufficient to stress-test engineering estimates and ensure alignment with business goals.
Guiding Technical Decisions: Keep technical decisions moving to closure — resolved at the team level where possible, escalated when they can't be.
Program Practice Design: Establish how hardware program management works at Mind: the planning rhythm that connects team-level work to org-level milestones and the artifacts that support both the individual engineer and leadership in prioritization and decision making.
Progress Tracking: Build the tracking layer that answers whether we are on or off track, drawn from the systems teams already work in. Monitor and report on key program metrics, and communicate status, blockers, and risks to leadership.
Risk and Issue Management: Identify and communicate technical, dependency, and resourcing risks early. Drive the process for mitigations and resolution.
Industry Experience: 5+ years of experience in technical program management for hardware product development, ideally in robotics or other products that integrate mechanical, electrical, compute, actuation, and sensing systems.
Proven Track Record: Demonstrated success taking hardware projects from nothing more than ideas to hardened, reliable products.
Technical Depth: Strong fundamentals in engineering/science with the ability to engage meaningfully in architecture, planning, and systems integration discussions.
System Complexity: Experience managing programs spanning multiple interdependent domains along with dependencies on broader cross-functional teams such as software engineering and operations.
Execution & Ownership: High sense of urgency, comfortable with ambiguity, and driven by an "engineering curiosity" to understand how the entire system works.
Educational Background: Bachelor's degree in engineering, or equivalent experience.
Skills Required
- Bachelor's degree in engineering (mechanical, electrical, or related) or equivalent experience.
- 5+ years of technical program management experience for complex hardware products (robotics, consumer electronics, automotive, aerospace).
- Proven track record shipping physical products from concept through mass production.
- Ability to engage in mechanical, electrical, and firmware design discussions (strong technical fundamentals).
- Experience managing electromechanical systems with interdependent subsystems (motors, PCBAs, sensors, structures).
- Familiarity with New Product Introduction (NPI) processes, tooling qualification, PPAP, DVT/PVT, and first-article inspections.
- Experience working directly with contract manufacturers and global suppliers on industrialization and production readiness.
- Experience creating and maintaining program plans, Gantt charts, metric tracking, and risk mitigation plans.
- Strong ownership, high sense of urgency, and comfort with ambiguity; engineering curiosity to understand full system.
What We Do
Mind Robotics builds intelligent, AI-driven robotic systems for industrial deployment, focusing on creating collaborative platforms for manufacturing environments.
