Software Engineer, Edge & Field Systems

Mind Robotics Inc.; Normal (IL); On-site; USD 120,000 - 150,000; Full time

Job summary

Mind Robotics Inc. is seeking a Software Engineer for Edge & Field Systems to help harden and productionize field software.

You will ship edge software for data collection rigs and teleoperation stations, and contribute to validation testing including hardware-in-the-loop setups across multiple factory sites. You will own monitoring, deployment tooling, and collaboration with operations to ensure reliable fleet performance in industrial environments.

Qualifications

• 2+ years of software engineering experience building production systems.
• Strong programming fundamentals and comfort across the stack — edge devices, services, and local data pipelines.
• Experience with edge computing, device or fleet management, real-time systems, robotics or sensor systems.
• Bias for ownership: shipped features or systems 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) 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.

Responsibilities

• Build the field capture stack — edge software for data collection rigs: device management, sensor orchestration, and real-time data quality monitoring.
• Ship the teleop stack — collection, evaluation, and operator tooling for teleoperation stations, including metrics and task management.
• Build and contribute to integration and validation testing for field software, including hardware-in-the-loop (HIL) test setups.
• Build monitoring and dashboards giving visibility into fleet health, capture quality, and station uptime across sites.
• Make deployment repeatable — create tooling and configuration systems for onboarding new manufacturing sites as a config change.
• Support the field — debug live systems and work with site operations staff and robot operators.

Skills

Edge computing

Device management

Real-time systems

Robotics

Telemetry data handling

Job description

About the team:

Mind Robotics is building robots that learn from real-world experience — and the quality of that experience starts with how we collect and process data. Our field data collection system puts capture rigs on the factory floor at manufacturing sites, generating the raw sensor data that trains everything downstream. Our teleoperations program turns human demonstrations into high-quality data that grounds our AI models in physical reality. Both flow through annotation and quality control into our training platform.

About the role:

As 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 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