Chief Technology Officer

Energize Robotics is looking for a Chief Technology Officer to help define and build the technical foundation of a frontier robotics company in San Francisco.

This is a hands-on, high-agency leadership role at the intersection of AI and real-world robotics, where multi-agent coordination, reinforcement learning, and autonomous systems move from theory into physical capability. You’ll work directly with the founder to shape the R&D direction, lead internal research efforts, and help assemble an elite team focused on ambitious, civilisation-scale technical goals.

Your Required Skills

• Deep expertise in reinforcement learning, with a strong emphasis on multi-agent RL
• Demonstrated ability to lead advanced R&D (setting research direction, executing against it, and iterating quickly)
• Strong understanding of multi-agent coordination across multiple systems (virtual and/or physical)
• Proven capability to recruit, assess, and build high-calibre technical teams
• Comfort operating in an early-stage environment with evolving objectives and high ambiguity
• Strong technical judgement, clear communication, and the ability to hold strong opinions while staying open to challenge

Nice to Have Skills

• Experience bridging AI into robotics (making the “robotics meets AI” jump)
• Familiarity with Vision-Language-Action (VLA) approaches
• Exposure to or experience with LLMs in applied agentic systems
• Background in frontier robotics or related humanoid/advanced robotics ecosystems
• Experience helping build a robotic platform from scratch

Your Education and Experience

• Advanced technical education is preferred (e.g., MS/PhD or equivalent depth through research/industry)
• Prior experience in top-tier AI research or applied AI organisations (especially agentic or multi-agent systems) is strongly preferred
• Senior leadership experience guiding research teams and scaling technical organisations (company trajectory targets a growing team over the next 18 months)

Other Requirements

• Location: 100% Bay Area, on-site (with a hybrid rhythm as appropriate, but this role is anchored in-person)
• Travel: Approximately 10%
• Willingness to engage directly with real-world systems and hardware as the R&D effort expands

If you’re ready to lead multi-agent intelligence into the physical world and help set the direction for what autonomous machines can become, apply now!