About the role
About Us
Agtonomy brings intelligent automation to agriculture, turf, and other demanding industries through Physical AI and software services. By partnering with trusted equipment manufacturers, we deliver factory-fit technology that transforms industrial machines into smart, efficient solutions built for safety and performance. Our team combines expertise in technology, product development, and industry knowledge to address critical challenges like labor shortages, sustainability, and productivity. We’re looking for people who want to work in a collaborative, fast-moving environment where their ideas can make a real impact.
About the Role
Agtonomy’s TechOps team is seeking a hands-on and detail-oriented Robotics Operations Engineer to oversee the performance, reliability, and operational efficiency of our deployed robotic systems. This role is responsible for investigating field issues through deep-dive analysis, building scalable fleet monitoring and automation systems, and managing configuration across hardware and software versions.
What You'll Do
- Conduct root cause analysis of complex field issues using logs, telemetry, and system-level diagnostics.
- Design and maintain monitoring infrastructure to detect anomalies and ensure fleet health at scale.
- Develop automation tools and scripts to streamline triage, updates, and reporting.
- Own configuration management across the fleet, including version control of firmware, parameters, and feature flags.
- Collaborate cross-functionally with engineering and operations teams to resolve recurring issues and improve product robustness.
- Define KPIs and build dashboards for operational visibility and performance tracking.
- Own new site standup from initial site surveys through the delivery of Agtonomy’s autonomous tractors and beginning of operations.
- Contribute to a better user experience, from our technology to our documentation and everything in between.
What You'll Bring
- 3+ years of experience in robotics operations, system integration, systems engineering, or a similar field.
- Strong troubleshooting skills across hardware, firmware, and software layers.
- Proficiency in scripting (e.g., Python, Bash) and working with data/log analysis tools.
- Experience with Linux-based systems, containerization (e.g., Docker), and cloud platforms (e.g., AWS, GCP).
- Experience with monitoring platforms (e.g., Grafana, Prometheus, or equivalent).
- Familiarity with configuration management systems and OTA update strategies.
- Excellent communication and coordination skills across technical and non-technical teams.
- A proven track record of enabling customers of autonomous technologies.
- Willingness to work on our customers’ schedules and at their locations, when necessary.
What Makes You a Strong Fit
- Experience leading incident management for safety-critical or mission-critical systems.
- Understanding of the edge cases that make autonomy difficult.
- Provent track record of going above and beyond to ensure customer success.
- Experience developing and growing a team dedicated to ongoing operational excellence of complex technologies.
Benefits:
- 100% covered medical, dental, and vision for the employee (cost plus partner, children, or family is additional)
- Commuter Benefits
- Flexible Spending Account (FSA)
- Life Insurance
- Short- and Long-Term Disability
- 401k Plan
- Stock Options
- Collaborative work environment working alongside passionate mission-driven folks!
Our interview process is generally conducted in four (4) phases:
- Phone Screen with People Operations (30 minutes)
- Video Interview with the Hiring Manager (45 minutes)
- Panel Interview (Video interviews scheduled with key stakeholders, each interview will be 30 to 45 minutes)
- Final Interviews (CEO, CFO, VP of Engineering, 30 minutes each)
The US base salary range for this full-time position is $110,000 to $145,000 + equity + benefits + unlimited PTO
The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, internal equity, and additional factors, including, but not limited to, job-related skills, experience, and relevant education or specialty training. Your recruiter can share more about the specific salary range during the hiring process.