Robotics Project Manager

Responsibilities

Responsibilities

• Lead end-to-end project delivery for robotics initiatives, from early development through deployment
• Manage timelines, milestones, resource allocation, and execution across robotics and AI teams
• Coordinate integration of hardware, software, autonomy, and perception subsystems
• Serve as the execution bridge between robotics engineers, ML researchers, data teams, and external partners
• Drive alignment on technical requirements, deliverables, and system readiness
• Ensure smooth collaboration across internal labs and engineering functions
• Develop detailed project plans for robotics builds, testing cycles, and iteration loops
• Identify technical and operational risks early, driving mitigation strategies
• Track dependencies across robotics hardware, firmware, simulation, and AI components
• Oversee robotics validation efforts including field testing and lab experimentation, simulation-to-real transfer cycles and safety and reliability reviews
• Ensure deployment readiness for robotics systems operating in real environments
• Establish execution frameworks, project governance, and program reporting
• Maintain clear documentation for schedules, requirements, decisions, and progress
• Communicate program status to leadership with transparency and technical depth

Skills And Experience Required

• 6+ years of experience in technical project or program management, ideally in robotics or autonomous systems
• Strong understanding of robotics development cycles including hardware/software integration
• Experience working with multidisciplinary IT engineering teams (robotics, AI/ML, embedded, data)
• Familiarity with robotics platforms and tools such as ROS/ROS2, perception stacks, autonomy pipelines
• Strong organizational, communication, and stakeholder management skills
• Experience managing IT projects involving humanoid robotics, manipulation systems, or autonomous navigation
• Exposure to AI-driven robotics workflows (computer vision, SLAM, reinforcement learning)
• Background in robotics lab environments with rapid prototyping and iterative field testing
• Familiarity with regulated or safety-critical robotics deployments
• Lead cutting-edge robotics and AI initiatives with real-world impact
• Work alongside world-class IT engineers and researchers in a fast-growing sovereign AI ecosystem
• Opportunity to shape execution of next-generation autonomous and embodied intelligence systems
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