Operations Engineer (Nimble Brain)

Join Nimble Brain, a company dedicated to making robots smarter through real-world operational data. As an Operations Engineer, you will be the crucial link between operations and engineering, diagnosing and resolving technical issues, translating floor pain into engineering priorities, and building tools to prevent future problems. You will also act as first-line technical support, industrialize engineering workflows, build observability for the collection operation, and support site ramps and new-site bring-up. This role requires strong technical skills, the ability to work autonomously, and excellent communication and documentation abilities.

• Act as the technical backbone of collection sites, diagnosing and resolving issues that site technicians can't, and translating floor pain into engineering priorities.
• Build operator-facing interfaces, checklists, and automations that let work once requiring an engineer run reliably in production.
• Use a data-driven approach to prioritize and fix failures and workflow frictions that cost the most accepted episodes.

• Work location includes production-floor environments with variable temperatures
• Flexibility to support evening shifts and occasional urgent coverage — collection runs on a shift schedule, and blockers don't wait for business hours
• 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
• Ability to work autonomously with minimal supervision, across multiple sites and stakeholder groups
• 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
• 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
• In-person role at our data collection sites, with regular presence on the floor and travel between sites as needed
• 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 Science, Software Engineering, or Robotics
• Comfortable hands-on with hardware: rigs, sensors, cameras, cabling, and the physical realities of a production floor
• Strong technical curiosity and debugging skills, including the ability to read technical logs and interpret data across the hardware/software boundary