Robot Operations Engineer

Cubiq Recruitment; München; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

Cubiq Recruitment is seeking a hands-on Robot Operations Engineer to drive prototype bring-up and maintain our robot lab. You will ensure seamless hardware/software integration and oversee the robot gym, keeping the fleet healthy for AI model training and experiments.

You will collaborate with AI and hardware teams, manage spare parts, perform routine maintenance, and help establish SOPs to standardize operations in a fast-paced lab environment in Munich.

Qualifikationen

• 3+ years in robotics operations or similar hands-on role.
• Strong mechanical and electrical troubleshooting.
• Experience with Linux environments and scripting for diagnostics.
• Experience managing hardware inventory and lab safety.

Aufgaben

• Prototype bring-up: Lead the initial bring-up, assembly and commissioning of new robotic prototypes and ensure integration of hardware, firmware and base software stacks before active testing.
• Robot gym management: Own and operate the lab environment to support data collection and AI model training.
• Fleet & inventory ownership: Track, maintain and manage all robot prototypes, sub-assemblies and spare parts with proper versioning.
• Maintenance & troubleshooting: Perform routine maintenance, sensor calibrations and repairs across the robot fleet to minimize downtime.
• Cross-functional collaboration: Bridge hardware and AI teams, manage hardware allocation requests and relay performance observations.
• Process standardization: Create SOPs for robot operation, lab safety, and hardware troubleshooting.

Kenntnisse

Robotics operations

Lab management

Hardware testing

Python/Bash scripting

Linux basics

Jobbeschreibung

As a Robot Operations Engineer, you are the backbone of our hands-on robotic development. You are responsible for bringing new robot prototypes to life, maintaining our active hardware fleet, and owning the "robot gym" - Our dedicated lab environment where robots undergo continuous testing and AI model training. Your work ensures that our AI and software teams have uninterrupted access to high functioning, reliable hardware. Working at the intersection of hardware engineering and AI development, you will oversee prototype bring-up, diagnose electromechanical issues, and create a structured, highly efficient lab environment that accelerates our overall product development cycle.

Key Responsibilities

• Prototype Bring-Up: Lead the initial bring-up, assembly, and commissioning of new robotic prototypes. Ensure the seamless integration of hardware, firmware, and base software stacks before handing them over for active testing.
• Robot Gym Management: Own and operate the "robot gym." Ensure the lab environment is safe, organized, and continuously optimized to support the AI team's data collection and training operations.
• Fleet & Inventory Ownership: Track, maintain, and manage the entire inventory of robot prototypes, sub-assemblies, and critical spare parts. Ensure all active units are properly version-controlled and running the latest hardware and firmware configurations.
• Maintenance & Troubleshooting: Perform routine maintenance, sensor calibrations, and hands-on repairs across the robot fleet. Rapidly diagnose and resolve electromechanical, networking, or system-level issues to minimize testing downtime.
• Cross-Functional Collaboration: Act as the primary technical bridge between the Hardware and AI teams. Provide operational support, manage hardware allocation requests, and feed critical performance observations back to the hardware engineering team to improve future iterations.
• Process Standardization: Establish and document clear standard operating procedures (SOPs) for robot operation, safety protocols, lab maintenance, and hardware troubleshooting.

We are looking for hands-on engineers who love getting their hands dirty with complex mechatronic systems and take immense pride in keeping a high-tech robotic fleet running at peak performance.

Who we are looking for?

• Experience: 3+ years of experience in robotics operations, lab management, hardware testing, field engineering, or a similar hands-on electromechanical role.
• Core Skills: Strong hands-on mechanical and electrical troubleshooting capabilities. Familiarity with Linux environments, basic network configuration, and scripting (e.g., Python or Bash) for system diagnostics and bring-up. Experience managing hardware inventory, using standard lab equipment, and ensuring operational safety.
• Mindset: You are highly organized, proactive, and service-oriented. You thrive in a dynamic, fast-paced lab environment, possess a strong sense of ownership over your fleet, and understand that the success of our AI development relies heavily on the readiness and reliability of the hardware you manag