Robot Operations Engineer

present of AI; South San Francisco (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

Agtonomy is seeking a hands-on reliability engineer to keep autonomous farm robots operating in the field. You will move between debugging real machines and building tooling that scales across a fleet.

The role emphasizes root-cause analysis, log-based anomaly detection, and disciplined configuration management across hardware and software versions. You’ll gain practical AI experience by linking software behavior to real-world field outcomes.

Qualifications

• Root-cause analysis of field issues.
• Experience with fleet monitoring tooling.
• Knowledge of hardware-software configuration management.
• Hands-on robotics debugging experience.
• Automation scripting for operations.

Responsibilities

• Dig into field problems to find root causes.
• Build monitoring and automation that scales across a fleet.
• Keep hardware and software configurations consistent.

Skills

Root cause analysis

Fleet monitoring tooling

Hardware-software configuration

Hands-on robotics debugging

Automation scripting

Job description

This role keeps deployed farm robots running well in the field. It involves digging into field problems to find root causes, building monitoring and automation that scales across a fleet, and keeping hardware and software configurations consistent. A strong candidate is hands on, careful with details, and comfortable moving between debugging real machines and writing tooling to catch issues early.

How it fits the AI era

The work sits close to physical AI, where software meets tractors in real fields. AI can help sift logs and flag anomalies across a fleet, but someone still has to judge what a failure means, trace it to a cause, and decide the fix. Reliability and configuration discipline stay human responsibilities.

How it builds AI experience

Working here means gaining practical exposure to autonomous systems in agriculture and to fleet level monitoring and automation. Building skill in log analysis, anomaly detection, and configuration tracking across hardware and software versions would fit well. Understanding how autonomy software behaves on real machines in specialty crops is the kind of grounding this role offers.

Worth showing

• Field issue root cause analysis
• Fleet monitoring tooling
• Hardware software configuration management
• Hands on robotics debugging
• Automation scripting for operations

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Agtonomy

Software that turns existing tractors into autonomous machines, starting with specialty crops.