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 :

Autonomous vehicles need to be able to understand the world around them not only in bright daylight, but also at night, when it is foggy or rainy, or when the sun is shining right in your face. At Zendar, we make this possible by developing the highest-resolution, most information-rich radar in the world.

What makes radar powerful - its long wavelength which makes it robust to all sorts of weather and lighting conditions - also makes it really challenging to work with. We have used our deep understanding of radar physics to build radar perception models that bring a rich and complete understanding of the environment around the AV from free space to object detections to road structure. Check out what our technology can do here - all produced with only radar information, no camera and no lidar!

Zendar has a diverse and dynamic team of hardware, machine learning, signal processing and software engineers with a deep background in sensing technology. We have a global team of 60, distributed across our sites in Berkeley, Lindau (Germany), and Paris.

Zendar is backed by Tier-1 VCs, has raised more than $50M in funding and has established strong partnerships with industry leaders.

Your Role :

To support our growing team, we're looking for a Senior 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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