TPM- Software & Controls
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Role details
Tech stack
Job description
- Lead sprint planning, release tracking, and engineering dependency management across all software and controls workstreams.
- Own software and controls delivery milestones; ensure technical readiness ahead of hardware and certification dependencies.
- Coordinate cross-functional alignment between software, hardware, and product teams to proactively unblock delivery.
- Manage risk identification and mitigation across prototype and production-grade development phases.
- Track and communicate progress from early-stage development through field-ready software and controls delivery.
- Drive architecture and integration reviews; hold teams accountable to quality, velocity, and engineering standards.
- Define and maintain the master program plan, milestones, critical path, and dependencies, across the full software stack.
- Establish scalable program management practices, tooling, and processes that grow with team and product complexity.
Requirements
- 5+ years in technical program management or engineering roles on complex software or embedded systems.
- Prior hands-on engineering background in software, robotics, controls, or systems engineering.
- Fluency with real-time systems, autonomy stacks, or robot operating environments.
- Proven ability to own multi-quarter software programs from planning through release in a fast-paced environment.
- Strong command of dependency management, critical path analysis, and schedule risk across HW-SW co-development.
- Exceptional written and verbal communication across engineering and executive audiences.
Preferred:
- Familiarity with CI/CD pipelines for embedded or robot software.
- Background in autonomous vehicles, drones, or industrial robotics.
- Exposure to safety-critical software development (ISO 26262, IEC 61508)
About the company
At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We’ve raised over $450M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality.
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