Senior Signal Processing Data Engineer

Are you tired of your good old corporate job, working on one project for half a year? Is your passion for making great infrastructure being kept in a box labeled “for later”? Do you enjoy working with smart people and do you want to make their developer experience great?

Zendar is looking for an experienced Data Engineer who understands data management, ML model training workflows and their optimization, and is excited to wear multiple hats to make sure engineers stay productive and infrastructure supports them. Our team is a testament of the ability to unite engineers of different backgrounds over a common vision. We do not shy away from reality and its limitations but we also dream big.

You don't have to fit in a box. We are not looking for a superhero. But we might be looking for you!

About Zendar :

Zendar is building perception for physical AI—giving engineers a strong foundation for creating world-class robotics applications. At Zendar, you'll work on perception foundation models that enable robots to understand and interact with their environments across a wide range of industries.

Zendar pioneered RF perception that delivers a vision-like, semantically segmented understanding of the environment—running on embedded automotive systems using only radar data. This RF perception forms the backbone of Zendar's next-generation foundation models, which are built around early fusion of RF and vision data.

This architecture inverts the traditional perception stack. Instead of treating RF signals as secondary, Zendar's models combine vision's high angular resolution with RF's strong temporal and spatial understanding at the earliest stages of perception. The result is a system that sees farther, remains robust to occlusion and adverse weather, and operates far more efficiently than vision-only or lidar-based approaches.

See a demo of Zendar's foundational RF perception

At Zendar, you'll work at the cutting edge of autonomous mobility and robotics—advancing foundation models that will power the next generation of physical AI systems. You'll work with large-scale, real-world, multi-modal datasets composed of synchronized and calibrated radar, camera, and lidar data collected across multiple continents.

Our team brings together deep expertise across hardware, signal processing, machine learning, and software engineering, with decades of experience in sensing and perception. We are a global team with offices in Berkeley, Lindau (Germany), and Paris (France). Zendar is well-funded by leading Tier-1 venture capital firms and has established strong industry partnerships.

Although AI is central to what we build, our hiring process is intentionally human : every résumé is reviewed by a real person.

Your Role :

To support our growing team, we're looking for a  Senior Signal Processing Data Engineer  to elevate our processes and technologies to the next level. If you are excited about designing and managing the complex signal processing data engineering pipelines, we'd love to hear from you!

We have a rapidly growing corpus of driving data, encompassing tens of thousands of kilometers of real-world driving on three continents, and a total data size of multiple petabytes. We add to that on a daily basis with data coming from our fleet of data collection vehicles. The Data team is responsible for indexing, processing, and categorizing all this data so that we make it frictionless to use it to test, train, and improve our driving models. Your responsibilities will focus on developing ETL data pipelines to guarantee data quality and to extract rich insights about the data that are available for downstream use. Some examples of data insights include categorizing driving behaviors, environments, and road user types. Our ETL pipelines are not your typical pipelines - they are robotics tasks such as vehicle calibration, driving behavior analysis, and video understanding models.

You will be based in our Berkeley site but join a Data Engineering team which is distributed between Berkeley and Europe. As the 6th member of the Data team and the 3rd in Berkeley, you will have a lot of visibility and responsibility within the team. This type of environment is perfect for someone who is comfortable managing multiple responsibilities simultaneously, enjoys interacting frequently with other engineers, and is opinionated about what to prioritize and how to build things.

Key Responsibilities :

ML Data Management :

• Maintain and grow a robust and reliable data lake in GCP for our proprietary training and evaluation data.
• Ensure robust data quality control with carefully designed algorithms.
• Grow our data lookup capabilities for data selection for labeling and model training.
• Own data quality algorithms and actively monitor data corruption in the datalake

Support for ML Engineers :

Setting and Maintaining Infrastructure Standards :

What We Look For :

Bonus Points :

1PB).

What You Would Work On :

What We Offer :

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.

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