Mechanical Engineer, AI Data Collection

🏢 Cobot · 📍 Santa Clara · 💼 onsite · ⏰ FullTime
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Position Summary & Responsibilities

Collaborative Robotics is seeking an early-career Mechanical Engineer to keep our robot data collection systems running. You will own the day-to-day health of our teleoperation and data collection rigs, working hands-on across mechanical hardware, cabling, basic electrical, and light software. This role sits on the core mechanical engineering team, with a path to grow into robot development work across our hardware programs.

Join us to reimagine the future of human-robot interaction.

Collaborative Robotics is a team of innovators and builders redefining the future of human-robot interaction. We are working to realize a world where robots are a trusted extension of your surroundings. They work, adapt, and react around you. Not the other way around.

This role is located onsite at our Santa Clara, CA headquarters.

Key Responsibilities:

  • Keep the data collection rig fleet healthy and running, including teleoperation leader/follower setups, fixtures, and supporting hardware.

  • Diagnose and repair mechanical, electrical, and cabling issues quickly to minimize downtime for the data collection team.

  • Build, modify, and improve rigs and fixtures using 80/20 framing, machined and printed parts, brackets, mounts, and cable management.

  • Track recurring failures and drive improvements back into rig design and spares strategy.

  • Support bring-up of new rigs and workcells as data collection scales.

  • Partner with the data collection program manager and technicians to prioritize repairs and improvements.

  • Take on mechanical design tasks with the core engineering team as you grow, supporting robot development programs.

Minimum Qualifications:

  • BS in Mechanical Engineering or a related field.

  • 1+ years of hands-on experience bui

🎯 Candidate Preparation Guide For Cobot Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Assessing SaaS product sensibility, user-centric community management tools development, and remote-first operational excellence.

📋 Preparation Priorities (Key Areas to Clarify):
  • 1. Viewing software strictly as transactional rather than an enabler of human connection.
  • 2. Poor async communication skills or lack of remote-first discipline.
  • 3. Inability to balance SMB feature requests with a clean, standardized product roadmap.
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I build intuitive SaaS tools that automate the friction out of managing dynamic, flexible workspaces.

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