Edge & Field Systems Engineer - Production-Grade Robotics

Garuda Ventures; Palo Alto (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

Mind Robotics is building Physical AI for real-world industrial deployment, starting with the factory floor. We are seeking a Software Engineer on Edge & Field Systems to join as one of the founding engineers on the team that owns our application layer and ships software that runs on real hardware in factories.

You will harden and productionize edge software, teleop tooling, and fleet monitoring across sites, collaborating closely with product, research, and operations teams while maintaining a

Qualifications

• 2+ years of software engineering experience building production systems.
• Strong programming fundamentals across the stack: edge devices, services, and data pipelines.
• Experience with edge computing, device or fleet management, real-time systems, robotics or sensor systems.
• Bias for ownership: taking features from prototype to production and sustaining them in the field.

Responsibilities

• Build the field capture stack: edge software for data collection rigs and sensor orchestration.
• Ship the teleop stack: tooling for teleoperation stations and operator workflows.
• Contribute to integration and validation testing for field software including HIL setups.
• Develop monitoring dashboards for fleet health, capture quality, and site uptime.

Skills

Programming fundamentals

Cross-stack development

Clear communication

Ownership mindset

Tools

Edge devices

Device management

Real-time systems

Robotics software

Job description

Mind Robotics is building Physical AI for real-world industrial deployment, starting with the factory floor. We are seeking a Software Engineer on Edge & Field Systems to join as one of the founding engineers on the team that owns our application layer and ships software that runs on real hardware in factories.

You will harden and productionize edge software, teleop tooling, and fleet monitoring across sites, collaborating closely with product, research, and operations teams while maintaining a