Product / Data Science Intern
Zendar
- Pay
- $38 to $40
- an hour
- Location
- Berkeley, CA
- Work style
- On-site
- Job type
- Internship
- Posted
- Oct 16
- 3 days ago
Career path
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About the company
Zendar
Computer software · 51 to 200 employees
About Zendar : Zendar builds a radar-centric autonomy stack which makes any vehicle - from cars to robots - autonomous in any environment. With our deep radar DNA, we have architected our solution to put RF sensing at the core of all perception. The result is a system that handles long range, high speeds, and bad weather not as edge cases but as a core strength of the autonomy stack. Because radars naturally measure both 3D position and velocity for every object in the environment, radar-centric autonomy is extremely compute- and data-efficient. Our autonomous vehicle needs only a few thousand dollars of hardware to make it completely autonomous, making this the cheapest way to build an autonomous vehicle by far. See a demo of Zendar’s foundational RF perception and driving functions . To develop this capability we had to build the entire stack in house - from radar sensor hardware to signal processing to multi-modal perception foundation models and path and trajectory planning. As part of a small team, you will have a front-row seat to seeing how a complete autonomy stack is architected and how your engineering decisions improve the ability to navigate autonomously in the real world. Although AI is central to what we build, our hiring process is intentionally human: every résumé is reviewed by a real person.
What you'll do
- Design and run experiments and test scenarios to measure system performance across perception models, controllers, and robotic applications.
- Build and extend Python tools for evaluation, data analysis, and visualization.
- Support simulation workflows, data collection, and hands-on testing with vehicles, robots, and sensors.
- Help prototype and evaluate robotic applications, such as security monitoring and container inventory management.
- Present findings to ML, controls, and product engineering teams, collaborating to track and resolve identified issues.
What you need
- Recent graduate with a Bachelor’s or Master’s degree in engineering, physics, mathematics, or a related technical field.
- Requires Python proficiency, familiarity with Linux, experience with agentic coding tools, and experience designing experiments and applying statistical analysis.
- Education: a bachelor's degree or a postgraduate degree
Key skills
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Perks
- Daily catered lunch
- a stocked fridge
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