Mechatronics Engineer

Tuurny

San Francisco (CA)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Job summary

Tuurny is looking for a Senior Mechatronics Engineer in San Francisco who will develop robotic systems for e-waste processing. The ideal candidate has a BS or MS in a relevant field, 4+ years of experience in building electromechanical systems, and proficiency in CAD, programming, and computer vision frameworks. Responsibilities include designing automated systems and writing robust control software. Join Tuurny to play a key role in scaling innovative recovery technology.

Qualifications

  • 4+ years of professional experience in electromechanical systems or industrial automation.
  • Demonstrated expertise in 3D CAD software and fabrication techniques.
  • Strong foundation in electrical engineering and PCB design.

Responsibilities

  • Design and prototype complex mechanical assemblies and automated systems.
  • Develop and deploy computer vision pipelines.
  • Write control software in C++ and Python for robotic systems.

Skills

3D CAD expertise
Electrical engineering
Computer vision
Control systems proficiency
C++ programming
Python programming
Problem-solving skills
Hands-on fabrication techniques

Education

BS or MS in Mechatronics, Robotics, Mechanical Engineering, Electrical Engineering or related field

Tools

SolidWorks
Onshape
Altium
KiCad
OpenCV
PyTorch
TensorFlow

Job description

We are looking for a true full-stack Hardware Engineer a highly versatile Senior Mechatronics Engineer who thrives at the intersection of mechanical design, electrical engineering, computer vision, and control systems. In this role, you won't be siloed into a single discipline. You will own the end-to-end development of the robotic systems that physically dismantle, visually analyze, and chemically sort complex e-waste.

Success in this role means you can confidently jump from 3D modeling a custom end-effector, to routing a PCB, to tuning a PID loop, to deploying a machine vision model often all within the same sprint. You will report directly to the Head of Hardware and play a foundational role in scaling our core extraction technology from R&D into continuous industrial operation.

Responsibilities
  • Design, prototype, and iterate on complex mechanical assemblies, custom robotic end-effectors, and automated material handling systems using 3D CAD software.
  • Design custom printed circuit boards (PCBs) and specify industrial electrical components, managing the full system-level electrical integration and power distribution.
  • Develop and deploy computer vision pipelines to rapidly identify, map, and classify micro-components on highly varied and unpredictable circuit boards.
  • Write robust, low-latency control software in C++ and Python to seamlessly orchestrate robotic manipulators, sensors, and actuators.
  • Lead the physical integration and testing of complex electromechanical systems on the production floor, rapidly diagnosing and resolving cross-disciplinary hardware bugs.
  • Collaborate across software, process, and chemical engineering teams to ensure hardware aligns with the broader material recovery workflow.
Qualifications
  • BS or MS in Mechatronics, Robotics, Mechanical Engineering, Electrical Engineering, or a closely related field.
  • 4+ years of professional experience building and deploying complex electromechanical systems or industrial automation.
  • Demonstrated expertise in 3D CAD (SolidWorks, Onshape, etc.) and hands-on fabrication techniques.
  • Strong foundation in electrical engineering, including PCB design (Altium, KiCad) and working with industrial control panels.
  • Proficiency in computer vision frameworks (OpenCV, PyTorch, TensorFlow) and deploying models for object detection or spatial mapping.
  • Strong programming proficiency in modern C++ and Python.
  • A strong portfolio of hardware projects demonstrating an ability to take a system from a blank page to a functional, moving prototype.
  • Excellent problem-solving skills and the ability to communicate complex, cross-disciplinary technical concepts clearly.
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