About the role:As an Software Engineer on Edge & Field Systems, you'll be one of the founding engineers on the team that owns our application layer, reporting to our Integration Manager. The systems work today; your job is to help harden and productionize them for scale - from 10 capture stations at one site to hundreds across multiple OEM plants, and from a handful of teleop stations to a multi-shift fleet. This is early, hands-on, 0-to-1 engineering: you'll ship code that runs on real hardware in real factories, and see its effect on robot behavior.
You will:- 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, with workflows optimized for I/O-, compute-, and network-bound constraints
- Ship the teleop stack - collection, evaluation, and operator tooling for our teleoperation stations, including metrics, task management, and the workflows our robot operators use every day
- Build and contribute to integration and validation testing for field software, including hardware-in-the-loop (HIL) test setups that catch failures before they reach a live site
- Build monitoring and dashboards that give visibility into fleet health, capture quality, and station uptime across sites, accounting for intermittent connectivity and bounded bandwidth in the field
- Make deployment repeatable - build tooling and configuration systems that make onboarding a new manufacturing site a config change, not a custom engineering project, including device provisioning workflows
- 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
Requirements:- 2+ years of software engineering experience building production systems
- Strong programming fundamentals and comfort working 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: 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 collect and 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
