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Software Engineer, Edge & Field Systems

Mind Robotics· Software Engineering
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Palo AltoFull-timePosted 3mo ago

About the role

Edge & Field Systems software engineer focused on building and productionizing edge data capture, teleoperation tooling, and field deployment infrastructure for factory-scale robotics.

Responsibilities

  • Build the field capture stack — edge software for data collection rigs: device management, sensor orchestration, and real-time data quality monitoring for factory floor constraints
  • Ship the teleop stack — collection, evaluation, and operator tooling for teleoperation stations, including metrics, task management, and operator workflows
  • Build and contribute to integration and validation testing for field software, including hardware-in-the-loop (HIL) test setups
  • Build monitoring and dashboards for fleet health, capture quality, and station uptime across sites, accounting for intermittent connectivity and bounded bandwidth
  • Make deployment repeatable — tooling and configuration systems for onboarding new manufacturing sites via config changes and device provisioning workflows
  • Support the field — debug live systems, instrument for observability, collaborate with site operations staff and robot operators

Qualifications

  • 2+ years of software engineering experience building production systems
  • Strong programming fundamentals and ability to work across the stack — edge devices, services, and local data pipelines
  • Experience with at least one of: edge computing, device or fleet management, real-time systems, robotics or sensor systems
  • Bias for ownership: shipped features or systems from prototype to production and supported 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 infrastructure to collect/monitor it in real time is a plus
  • Experience with hardware-in-the-loop or simulation-based testing (e.g., Isaac Sim, Gazebo, MuJoCo) 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

Skills

Required:Edge computingDevice/fleet managementReal-time systemsCollaboration and communication
Nice to have:Hardware-in-the-loop testingSensor data processing

Benefits

  • Not specified in description
Last updated Sep 30, 2026. Interested? Apply on the company site.

About Mind Robotics

Physical AI for the Real World

Mind Robotics is building intelligent robotics for industrial deployment. We believe the fastest path to broadly capable robots is through clearly defined, high-impact environments. We are starting where the need is most.

roboticsindustrial deploymentPhysical AImanufacturing
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