Senior Robotics Engineer

About the role

The bottleneck to GW‑scale off‑grid power is not panels or batteries. It is how fast you can physically build the plant. TAR is standing up a robotics program to automate the deployment of energy assets at a speed and scale the industry has never seen: machines that install racking, place modules, run civil works, and assemble power blocks across hundreds of acres of West Texas, faster and more reliably than human crews.

• Design and build automated machines for energy deployment, racking, module placement, and civil works at GW scale on compressed timelines.
• Architect fleet management and coordination for large autonomous fleets operating across active construction sites.
• Develop low‑level closed‑loop control for individual machines and high‑level adaptive control across the fleet.
• Build sensor fusion and precise positioning and localisation for machines operating outdoors at scale.
• Stand up simulation for modelling, testing, and reinforcement learning using data‑driven methods.
• Model and integrate robotic arms and manipulators for deployment tasks.
• Own production planning with vendors and drive machines from prototype to field‑deployable hardware.
• Work hand in hand with low‑level software, mechanical, and electrical engineering.

• 5+ years of experience in designing autonomous and/or robotic systems.
• Robotics experience with real, deployed‑system work, not solely research or lab work.
• Ability to take a robotics effort a long way independently, from architecture through field deployment.
• Strong control background spanning low‑level closed‑loop control and higher‑level adaptive and coordination control.
• Hands‑on ROS 2 experience.
• Sensor fusion, state estimation, and positioning expertise.
• Experience taking robotic hardware from prototype to production with vendors.
• High ownership, bias for speed, and comfort with ambiguity.

• Experience at a top deployment‑robotics company such as Figure, Physical Intelligence, Waymo, Zipline, or Zoox.
• Reinforcement learning and sim‑to‑real transfer for physical systems.
• Robot‑arm and manipulation modelling and control.
• Outdoor, heavy‑industry, or construction robotics experience.
• Experience hiring and building a robotics team from zero.

• Total compensation: $320‑850K/year (top of range, and beyond, for exceptional fleet‑leading candidates)
  • Base salary: $120‑250K
  • Equity: $200‑600K/year at TAR’s most recent valuation
• Up to $15K Relocation bonus
• Unlimited PTO
• Health, Dental, Vision insurance
• $1K monthly stipend for meals