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Mind Robotics

Robot type
Industrial Automation
Location
Palo AltoCaliforniaUSA
Job type
Customer Success
Posted
Jul 2, 2026
Full-time

Application Engineer

Job description

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.

Job responsibilities

  • Build the field capture stack — edge software for our data collection rigs: device management, sensor orchestration, and real-time data quality monitoring that holds up on a factory floor.
  • Ship the tele-operations stack — collection, evaluation, and operator tooling for our teleoperation stations, including metrics, task management, and the workflows our robot operators use every day.
  • Streamline annotation methods/models to increase labelling efficiency.
  • Make deployment repeatable — contribute to tooling and configuration systems that make onboarding a new manufacturing site a config change, not a custom engineering project.
  • Support the field — debug issues on live systems, instrument for observability, and work directly with site operations staff and robot operators who depend on your software.

Job requirements

  • 3+ years of software engineering experience building production systems.
  • Strong programming fundamentals and comfort working across the stack — edge devices, services, and data pipelines.
  • Experience with at least one of: real-time data pipelines, edge computing, device or fleet management, robotics or sensor systems.
  • Bias for ownership: you’ve taken features or systems from prototype to production and supported them in the field.
  • Clear communication and close collaboration with product, research, and operations partners.
  • Hands-on experience with sensor data (video, depth, IMU, force/torque) and the infrastructure to process it at scale is a plus.
  • Background in robotics, autonomous vehicles, industrial IoT, or teleoperation systems is a plus.
  • Exposure to manufacturing or other industrial environments is a plus.

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