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What You'll Do:
- Design and execute benchtop characterization studies of catheter driving performance: tip
position accuracy, tracking error, hysteresis, friction, and other performance metrics - Build Python automation scripts and small test harnesses for repeatable, hands-off data
collection across the robotic system - Tune control loops and parameters on real hardware and quantify the improvement with
clean before-and-after data - Develop reusable analysis tooling: data ingestion, plotting utilities, and reporting
templates the team can keep using after you leave - Support design verification testing by writing protocols, executing runs, and documenting
results in line with medical device standards - Contribute to the team's data infrastructure: log parsing, bagfile processing, metric
extraction, automation scripts, dashboards - Document your work on Confluence and present findings in team design reviews
Skills & Qualifications:
- Master's Degree or Higher in Robotics, Mechanical Engineering, Electrical
Engineering, Computer Science, or a related field - Solid Python fundamentals (NumPy, SciPy, Matplotlib, pandas) and the ability to write
clean scripts that other people will read and run - Working knowledge of feedback control: you've taken a controls course and can talk
through PID, frequency response, and stability concepts - Experience characterizing or testing real hardware in a lab setting, even at the coursework
or research scale - Ability to design an experiment, run it carefully, and write up what you found
- Comfortable in a fast-paced startup environment where priorities shift and you're
expected to ask good questions
Nice to Have:
- Coursework or research in robot kinematics, dynamics, or continuum/flexible robotics
- C++ exposure, particularly for reading existing code and writing simple changes
- Experience with ROS1/ROS2, bagfiles, or similar middleware
- MATLAB or Simulink for control design and system identification
- Familiarity with Git, code review workflows, and unit testing
- Prior internship or research experience at a robotics, medtech, or hardware-heavy
company
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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