Mechatronics Engineer: Hands-On Hardware & AI Training Lab

Bee Talent Solutions

San Francisco (CA)

On-site

USD 110,000 - 165,000

Full time

2 days ago
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Job summary

Bee Talent Solutions is helping a client hire a Mechatronics Engineer to integrate mechanical, electrical, and firmware components in a hands-on hardware development lab in San Francisco. The role includes power-up, firmware flashing, and cross-disciplinary troubleshooting while building and testing complex electromechanical systems for AI training data collection.

You will work with Linux and Python at the bench to validate hardware, review instructions for accuracy, and contribute to

Qualifications

  • 2+ years of hands-on mechatronics or electromechanical systems work.
  • Experience building and bringing up a full electromechanical system, including firmware.
  • Comfortable with Linux and Python.

Responsibilities

  • Integrate mechanical, electrical, and firmware components into functional hardware systems and subsystems.
  • Support initial system power-up, firmware flashing, and configuration in collaboration with the hardware team.
  • Diagnose and troubleshoot issues spanning mechanical, electrical, and firmware systems.
  • Use Linux and Python to operate, test, and validate hardware systems at the bench.
  • Use standard hand tools, multimeters, oscilloscopes, bench power supplies, and firmware flashing tools to support system assembly and troubleshooting.
  • Review written and on-screen work instructions, identify inaccuracies, and provide feedback to improve technical documentation.

Skills

Mechatronics
Electromechanical systems
Linux
Python

Tools

Oscilloscopes
Multimeters
Bench power supplies
Firmware flashing tools

Job description

Bee Talent Solutions is helping a client hire a Mechatronics Engineer to integrate mechanical, electrical, and firmware components in a hands-on hardware development lab in San Francisco. The role includes power-up, firmware flashing, and cross-disciplinary troubleshooting while building and testing complex electromechanical systems for AI training data collection.

You will work with Linux and Python at the bench to validate hardware, review instructions for accuracy, and contribute to

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