Product / Data Science Intern
Berkeley, CA
- Pay
$38–40/hour — pay source
Collaboration with smart and motivated engineers and ability to execute your vision in a high impact role Compensation $38.00-$40.00/hr 40 hours/week in-office internship position for 6 months, flexible start date
Read the full posting- Work setting
- Not stated
- Employment
Temporary — employment source
Employment type in the employer’s listing: Temporary
From the employer’s posting
What you’ll work on
Full postingWe’re looking for a recent graduate to join us for a 6-month intern-to-hire role working across our robotics stack: perception, controls, simulation, and robot applications such as asset tracking and site monitoring.
Design and run experiments and test scenarios to measure system performance
Build and extend Python tools for evaluation, data analysis, and visualization
Support simulation workflows, data collection, and hands-on testing with vehicles and robots
Help prototype and evaluate robotic applications such as security monitoring
Present findings to ML, controls, and product engineering teams
From the employer’s posting
We’re looking for a recent graduate to join us for a 6-month intern-to-hire role working across our robotics stack: perception, controls, simulation, and robot applications such as asset tracking and site monitoring. The common thread is measurement. You’ll design experiments and build the tools that tell us whether our systems work, how well, and why, then share what you find with the ML and control engineers who act on it. Priorities shift quickly, so this role suits someone who enjoys ambiguous problems, picks up new domains fast, and is excited to grow into a full-time engineer on the team.
Design and run experiments and test scenarios to measure system performance
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
What you’ll bring
All qualificationsCore experience
- Recent graduate with a Bachelor's or Master's in engineering, physics, math, or related field
- Proficiency in Python
- Experience designing experiments and applying statistical analysis to noisy data
- Familiarity with Linux environments
- Strong written and verbal communication skills
Qualification wording
Recent graduate (Bachelor’s or Master’s degree) in engineering, physics, mathematics, or a related technical field.
Proficiency in Python
Experience designing and conducting experiments from a scientific perspective and applying statistical analysis to extract insights from noisy, real-world data.
Familiarity with Linux environments.
Strong written and verbal communication skills
Education & alternatives
What We’re Looking For: - Recent graduate (Bachelor’s or Master’s degree) in engineering, physics, mathematics, or a related technical field. - Proficiency in Python; experience with C++ is a plus.
Tools in this posting
- C++
- Python
- SQL
- BigQuery
- Google Cloud (GCP)
- Matplotlib
- Plotly
- Streamlit
Source — Tool mentions in context
- Recent graduate (Bachelor’s or Master’s degree) in engineering, physics, mathematics, or a related technical field. - Proficiency in Python; experience with C++ is a plus. - Familiarity with Linux environments.
- 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.
Bonus Points For - Experience with GCP, BigQuery, or SQL. - Experience processing sensor data (e.g., radar, LiDAR, camera feeds).
- Experience handling 3D data and spatial geometry, including point clouds, coordinate frames, and rigid-body transformations. - Experience building data visualizations or interactive dashboards using tools such as Matplotlib, Plotly, or Streamlit. What We Have To Offer:
About Zendar
Although AI is central to what we build, our hiring process is intentionally human: every résumé is reviewed by a real person.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 18, 2026 · 1 day ago
- Recorded sightings
- 2
- Last seen by us
- Oct 19, 2026
- Employer says posted
- Oct 16, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on zendar.breezy.hr. The employer’s form will show what is required.
Already applied? Track this application
Job description
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.
Role Overview:
We’re looking for a recent graduate to join us for a 6-month intern-to-hire role working across our robotics stack: perception, controls, simulation, and robot applications such as asset tracking and site monitoring. The common thread is measurement. You’ll design experiments and build the tools that tell us whether our systems work, how well, and why, then share what you find with the ML and control engineers who act on it. Priorities shift quickly, so this role suits someone who enjoys ambiguous problems, picks up new domains fast, and is excited to grow into a full-time engineer on the team.
Key Responsibilities:
- 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 We’re Looking For:
- Recent graduate (Bachelor’s or Master’s degree) in engineering, physics, mathematics, or a related technical field.
- Proficiency in Python; experience with C++ is a plus.
- Familiarity with Linux environments.
- Experience using agentic coding tools (e.g., Claude Code, Cursor, Codex)
- Experience designing and conducting experiments from a scientific perspective and applying statistical analysis to extract insights from noisy, real-world data.
- Strong written and verbal communication skills, including the ability to clearly articulate technical results to both technical and non-technical stakeholders.
- Comfort with ambiguity: ability to drive loosely defined projects, adapt to evolving requirements, and rapidly master new technical domains.
Bonus Points For
- Experience with GCP, BigQuery, or SQL.
- Experience processing sensor data (e.g., radar, LiDAR, camera feeds).
- Experience with and enthusiasm for working directly with hardware and robotics platforms, including vehicles and sensor test rigs.
- Familiarity with ROS or robotics simulation software.
- Coursework or experience in controls, dynamics, or state estimation (e.g., MPC, Kalman filters, odometry).
- Experience handling 3D data and spatial geometry, including point clouds, coordinate frames, and rigid-body transformations.
- Experience building data visualizations or interactive dashboards using tools such as Matplotlib, Plotly, or Streamlit.
What We Have To Offer:
- Opportunity to make an impact at a young, venture-backed company in an emerging market
- Collaboration with smart and motivated engineers and ability to execute your vision in a high impact role
- Compensation $38.00-$40.00/hr
- 40 hours/week in-office internship position for 6 months, flexible start date
- Daily catered lunch and a stocked fridge
- Opportunity for both the intern and the team to assess mutual fit for a potential full-time junior role.
Zendar is committed to creating a diverse environment where talented people come to do their best work. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Zendar participates in E-Verify
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- Pay
Collaboration with smart and motivated engineers and ability to execute your vision in a high impact role Compensation $38.00-$40.00/hr 40 hours/week in-office internship position for 6 months, flexible start date
- Location & working pattern
Berkeley, CA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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