Application Engineer

Mind Robotics • Palo Alto, CA

7d

About The Position

Mind Robotics is building robots that learn from real-world experience. The Application Engineer will be one of the founding engineers on the team that owns the application layer for the field data collection system. This system puts capture rigs on the factory floor at manufacturing sites, generating the raw sensor data that trains the robots. The role involves hardening and productionizing these systems for scale, from a few capture stations to hundreds across multiple OEM plants, and from a few teleoperation stations to a multi-shift fleet. This is an early, hands-on, 0-to-1 engineering role where the engineer will ship code that runs on real hardware in real factories and see its effect on robot behavior.

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: experience taking features or systems from prototype to production and supporting them in the field.
• Clear communication and close collaboration with product, research, and operations partners.

Nice To Haves

• Hands-on experience with sensor data (video, depth, IMU, force/torque) and the infrastructure to process it at scale.
• Background in robotics, autonomous vehicles, industrial IoT, or teleoperation systems.
• Exposure to manufacturing or other industrial environments.
• Familiarity with ML data workflows (datasets, labelling, evaluation).

Responsibilities

• Build the field capture stack — edge software for data collection rigs, including device management, sensor orchestration, and real-time data quality monitoring.
• Ship the teleop stack — collection, evaluation, and operator tooling for teleoperation stations, including metrics, task management, and workflows for robot operators.
• Streamline annotation methods/models to increase labelling efficiency.
• Make deployment repeatable by contributing to tooling and configuration systems for onboarding new manufacturing sites.
• Support the field by debugging issues on live systems, instrumenting for observability, and working directly with site operations staff and robot operators.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed