Operations Engineer, Nimble Brain

Job description

Job responsibilities

• Act as first-line technical support beyond routine maintenance for our data collection sites: diagnose and resolve issues across rigs, teleoperation and capture systems, and the software that runs them.
• Industrialize engineering workflows into floor-ready tools: build the operator-facing interfaces, checklists, and automations that let work once requiring an engineer run reliably in production — setup, calibration,…
• Build observability for the collection operation: rig health, calibration drift, capture pipeline status, and the alerts that surface problems before they cost accepted episodes.
• Be the bridge between ops and engineering: own the routing call on every issue — fix it yourself, or spec it as a prioritized, well-defined request to the right engineering team — and translate engineering changes back…
• Partner with site technicians on the hardware line: they own routine maintenance and physical upkeep; you own systems-level diagnosis, tooling, and the escalation path into engineering.
• Use a data-driven approach to prioritize: quantify which failures and workflow frictions cost the most accepted episodes, fix in that order, and revisit the workarounds you've shipped to decide which have earned a…
• Support site ramps and new-site bring-up: rig installation, station configuration, and getting new floors to steady state fast.
• Create and maintain documentation and runbooks in collaboration with technicians, supervisors, and engineering — so sites self-serve more every month and escalate less.

Job requirements

• 0–5 years of experience in a production environment supporting and improving complex robotics or hardware/software systems, or a minimum of 2 years of experience combined with a Bachelor of Science degree in Computer…
• Strong technical curiosity and debugging skills, including the ability to read technical logs and interpret data across the hardware/software boundary.
• Scripting and data fluency — comfortable with Python, SQL, or equivalent, with AI tools as force multipliers, to analyze production data and build and ship lightweight internal tools yourself.
• Demonstrated excellence in communication and documentation — this role's output is often a runbook, an interface, or a well-specified request, and all three have to be clear.
• Ability to work autonomously with minimal supervision, across multiple sites and stakeholder groups.
• Sound judgment under pressure: you can stabilize an issue in the moment without losing the long-term thread, and you know when a fix is yours to ship versus when it belongs to a dev team.
• Comfortable hands-on with hardware: rigs, sensors, cameras, cabling, and the physical realities of a production floor.
• In-person role at our data collection sites, with regular presence on the floor and travel between sites as needed.