Robotics Technician — Night Shift

Destro AI•Sumner, WA

79d•Onsite

About The Position

Destro AI is building the intelligence layer for robotics, focusing on the decision-making aspect rather than just movement. Their core product, MothershipOS, is a centralized system that coordinates robots, humans, and workflows in real-time, offering global intelligence across operations. The company has secured significant seed funding and is already deploying systems with large enterprise clients. This role is a hands-on, on-site position at a customer facility, responsible for keeping robots operational, deploying new systems, training users, and providing crucial feedback to the engineering team. It's an opportunity to directly influence the product's development in a real-world setting.

Requirements

2+ years of hands-on technical experience with robotics, automation, material handling equipment, or comparable electromechanical systems.
Strong mechanical and electrical troubleshooting instincts.
Comfortable working independently on a night shift, often as the only technical person on site.
Able to stay calm and methodical when production is down and people are waiting.
Clear communicator who can explain technical issues to different audiences.
Genuinely good at teaching.
Comfortable in a warehouse environment: on feet for extended periods, lifting up to 50 lbs, working around powered industrial equipment.
Reliable and safety-first with a high ownership mindset.

Nice To Haves

Experience with AMRs, AGVs, ASRS, sortation systems, or robotic picking systems.
Experience working inside a distribution center, fulfillment center, or 3PL operation.
Familiarity with Linux command line, networking basics (IP addressing, Wi-Fi troubleshooting, switches and access points), and reading system logs.
Experience with fleet management or robot monitoring dashboards.
Experience writing SOPs or training material.
Associate degree or technical certification in robotics, mechatronics, industrial maintenance, electronics, or a related field — or equivalent military or hands-on experience.
Prior experience training or leading other technicians.
Forklift or powered industrial equipment certification.

Responsibilities

Deploy and commission Destro's robotic systems on-site, including unboxing, assembly, charging infrastructure, network setup, and configuration.
Support site mapping, zone setup, and workflow configuration for new deployments.
Execute acceptance testing and validate systems against defined performance criteria before go-live.
Run functional, integration, and end-to-end tests on robots and the MothershipOS platform.
Validate robot behavior against expected workflows and document deviations.
Verify software updates and configuration changes in the live environment before and after rollout.
Monitor the robot fleet through the MothershipOS dashboard throughout your shift.
Respond to and resolve robot exceptions in real time, such as blocked paths, failed picks, navigation faults, charging faults, and connectivity drops.
Triage issues quickly to keep throughput and uptime targets on track.
Track exception patterns and recurring failures.
Execute scheduled preventive maintenance on the robot fleet, including inspections, cleaning, sensor calibration, wheel and drive checks, and battery health assessments.
Diagnose and repair mechanical, electrical, and electromechanical faults.
Manage spare parts inventory and coordinate replacements.
Maintain accurate maintenance logs and service records for every unit.
Train warehouse associates on how to work safely and effectively alongside our robots.
Deliver refresher training as workflows change and new associates join.
Build and maintain SOPs, quick-reference guides, and troubleshooting documentation for the site.
Train and onboard new Destro technicians as the team grows, and serve as their point of escalation.
Escalate issues that cannot be resolved on-site to the engineering team with clear, complete diagnostic detail, including logs, reproduction steps, photos or video, and site context.
Work with remote engineers to reproduce, diagnose, and verify fixes.
Feed field learnings back into the product to prevent future failures.