Gritt is an intelligent system that combines robotics and AI to build the infrastructure that pulls society forward. Gritt deploys via simple attachments to common equipment found on construction sites and autonomously performs labor-intensive tasks, verification, and planning. Gritt systems are already building critical infrastructure in the harshest outdoor environments, starting with large-scale solar. The founding team includes experts in robotics and AI from Carnegie Mellon, Stanford, and MIT. Gritt is backed by Obvious Ventures, Union Square Ventures, First Round Capital, Climactic, Congruent Ventures, and other leading firms.
Location: Various US Sites / Remote with Heavy Travel
Job Type: Full-Time
Job Summary
We are seeking a highly analytical and heavily hands-on Technical Autonomous Fleet Manager to oversee the deployment, health, and operational efficiency of our autonomous construction robots on utility-scale solar sites. Your primary mission is simple: keep the robots running and doing work. Often serving as the sole technical expert in the field, you must be a relentless problem solver capable of troubleshooting complex mechanical, electrical, and system issues on the fly. While you will be the operational backbone keeping our fleet at peak capacity, you will also act as the vital link between field operations and our internal R&D teams, capturing real-world performance data to drive continuous product improvement. The ideal candidate is an independent operator who is not afraid to get their hands dirty and has extensive experience with advanced heavy machinery or autonomous fleets.
Key Responsibilities
Uptime & On-the-Fly Troubleshooting (Primary): Keep the robots working. Act as the primary (and often only) technical resource on site to quickly diagnose and resolve mechanical, electrical, or software issues on the fly to ensure maximum fleet uptime.
Hands-On Machine Interaction: Work closely with our robotic fleet in the field. You will be physically interacting with the machines daily to monitor performance, calibrate sensors, and ensure operational readiness. You are not afraid to get your hands dirty turning wrenches or swapping components.
Field-to-R&D Feedback Loop: Systematically capture, document, and analyze field data, hardware anomalies, edge cases, and performance bottlenecks. Translate these real-world insights into structured, actionable feedback for our R&D and hardware engineering teams.
Maintenance & Reliability: Oversee the overall health of the fleet. Manage preventative maintenance schedules and routinely execute hands-on corrective maintenance and repairs in rugged outdoor environments.
Fleet Logistics & Deployment: Manage the end-to-end logistics of moving, deploying, and staging the robotics fleet across various construction sites. Oversee site-specific requirements such as charging/fueling infrastructure and spare parts inventory.
Operational Optimization: Track daily fleet utilization and task completion rates. Develop and refine operational playbooks to optimize how our robots are deployed on busy construction sites.
Required Qualifications
Bachelor’s degree in Mechanical Engineering, Robotics, Systems Engineering, or a related technical field (OR equivalent deep, hands-on experience managing complex mechanical/heavy equipment fleets).
Independent Problem Solver: Proven ability to work autonomously as the sole technical expert on a site, making rapid, high-stakes troubleshooting decisions on the fly to keep operations moving.
Highly Hands-On: You are not afraid to get your hands dirty. You must have a proven history of working closely with physical machines, turning wrenches, and diagnosing hardware faults in outdoor, active construction environments.
Proven track record in fleet management, technical field operations, or hardware testing and deployment.
Strong mechanical and electrical troubleshooting skills.
Exceptional technical communication skills, with the ability to accurately describe complex mechanical failures to off-site software and hardware engineers.
Willingness to travel extensively to active solar construction sites and adapt to the dynamic nature of field work.
Preferred Qualifications
Autonomous Fleet Experience: Prior experience managing or scaling fleets of autonomous systems, such as self-driving passenger vehicles (e.g., Waymo, Tesla Robotaxi, Cruise), autonomous delivery bots, or advanced agricultural/mining robotics.
Advanced Machinery Expertise: Hands-on experience or deep technical familiarity with sophisticated, tech-enabled heavy construction equipment, particularly pile driving machines like the PD-10 or automated trenching systems.
Experience setting up field maintenance programs or utilizing fleet management software/telemetry dashboards.