Software Engineer, Edge & Field Systems

About the team and the role:

A a 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 Head of Application Engineering. 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.

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, 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