Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Berkeley, CA
Live, first seen by us 17 days agoCollaboration 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 dateRead the full posting
Employment type in the employer’s posting: TemporaryFrom 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
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.
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
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
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
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.
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
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$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Day 17
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From 10,000 similar postings that came down. Coming down is not always a hire.
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- 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:
Complete your application on zendar.breezy.hr. The employer’s form will show what is required.
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We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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.
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.
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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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
Berkeley, CA
Working pattern and location restrictions need checking in the full posting.
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