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Robotics Intern
Thermo Fisher Scientific. Design and prototype data collection hardware, including camera rigs, sensor mounts, teleoperation interfaces, end-effector and wrist-cam assemblies .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and prototyping data collection hardware, integrating sensor technologies, and developing data-handling scripts. Proficient in Python and familiar with robotics frameworks and tools essential for real-world data collection and evaluation.
Highest-signal resume keywords
Proficient In PythonExperience With ROS/ROS2Hands-On Experience With CADFamiliarity With Depth CamerasExperience With Teleoperation
ATS Keywords
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Hard Skills
Data Collection Hardware DesignSensor IntegrationData Handling Scripts3D PrintingMulti-Camera CaptureSynchronizationSensor FusionModel EvaluationElectronics PrototypingMechanical Fabrication
Tools & Technologies
LinuxVersion ControlOpenSCADOnshapeSolidWorksRGB-D CamerasTeleoperation GlovesVR HeadsetsHDF5LeRobot
Industry Keywords
RoboticsECEMECSImitation LearningRobot Learning Data PipelinesSLAMMulti-Camera CalibrationMotion CaptureVR/AR Input
Tech Stack
Tools & technologiesLinuxPython
About the role
Key responsibilities & impact- Design and prototype data collection hardware, including camera rigs, sensor mounts, teleoperation interfaces, end-effector and wrist-cam assemblies
- Build recording and data-handling scripts for multi-camera capture, synchronization, and sensor fusion targeting HDF5 and LeRobot dataset formats
- Integrate and evaluate off-the-shelf components, including RGB-D camera arrays, dexterous hands, teleoperation gloves, and VR headsets
- Support real-world data collection and model evaluation sessions on robot arms and humanoid platforms
- 3D-print, assemble, wire, and bench-test prototypes alongside the lab technician
- Document hardware specifications, BOMs, and reproducible setup procedures
Requirements
What you’ll need- Currently enrolled in or completed a Master's (or PhD) in Robotics, ECE, ME, CS, or a related field
- Proficient in Python; comfortable with Linux and version control
- Hands-on experience with at least one of: ROS/ROS2, sensor integration, CAD (OpenSCAD/Onshape/SolidWorks), or 3D printing
- Able to work on-site in Palo Alto or Redmond Lab
- Preferred: Experience with imitation learning / robot learning data pipelines (LeRobot, RLDS, HDF5)
- Preferred: Familiarity with depth cameras, SLAM, or multi-camera calibration
- Preferred: Teleoperation, motion capture, or VR/AR input experience
- Preferred: Soldering, electronics prototyping, mechanical fabrication