{"schemaVersion":"jobsearcher.job.v1","id":"e85368ce5d58b648dd43e1e9","url":"https://jobsearcher.com/jobs/e85368ce5d58b648dd43e1e9","canonicalUrl":"https://jobsearcher.com/jobs/e85368ce5d58b648dd43e1e9","title":"Senior Signal Processing Data Engineer","description":"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?\nZendar 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.\nYou don't have to fit in a box. We are not looking for a superhero. But we might be looking for you!\nWho We Are:\nAutonomous 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.\nWhat 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 (https://www.youtube.com/watch?v=MUxE2T2Qe8g) - all produced with only radar information, no camera and no lidar!\nZendar 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.\nZendar is backed by Tier-1 VCs, has raised more than $50M in funding and has established strong partnerships with industry leaders.\nWho You Are:\nTo 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!\nWe 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.\nYou 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.\nKey Responsibilities:\nML Data Management:\nMaintain and grow a robust and reliable data lake in GCP for our proprietary training and evaluation data.\nEnsure robust data quality control with carefully designed algorithms.\nGrow our data lookup capabilities for data selection for labeling and model training.\nOwn data quality algorithms and actively monitor data corruption in the datalake\nSupport for ML Engineers:\nServe as liaison to support Berkeley, Paris & German office ML engineers (Human annotation processing, data calibration, data upload issues)\nSetting and Maintaining Infrastructure Standards:\nBe a go-to resource for solving infrastructure-related challenges, fostering a culture of ownership and accountability in the team.\n\nWhat We're Looking For:\n5+ years in Data Science, MLOps or similar\nStrong algorithmic and optimization skills, especially in statistics and signal processing.\nDeep experience with cloud computing platforms (GCP or other), production-grade database design/deployment and Cloud-native ML workflow.\nBroad knowledge of data engineering and MLOps tools (Lambda, Kubernetes, Terraform).\nProficiency with Python and SQL queries.\nA proactive approach to solving problems and willingness to take on new challenges as they arise.\nSomebody with solid opinions based on experience, yet open-minded and flexible to find the best solution for the situation.\nAbility to work from the office in Berkeley at least from Tuesday to Thursday.\nBonus Points:\nPrior experience in ADAS or sensor data processing pipelines (radar, lidar).\nFamiliarity with Google BigQuery and related data visualization tools.\nExperience with production-grade serverless batch/streaming applications.\nHands-on experience in the management of large datalakes (>1PB).\nNoSQL database design/deployment experience.\nA track record of excelling in ambiguous or evolving roles.\nWhat You Would Work On:\nWhen sorting through 1000s of hours of data, understanding what is in our training data is critical! Leveraging existing camera object detection models and automating data labeling is the logical next step, significantly reducing manual effort and streamlining the data pipeline. As the research requirements change, the camera model integration needs to seamlessly adjust as well.\nSensors and vehicle calibrations can drift unexpectedly, which if undetected significantly harms the quality of results. We need to automatically identify calibration drifts and correct them before data is consumed, so that data users can have high trust in the quality of the data they work with.\nEnriching our ground truth data with KPIs designed by the Product and push them to production.\nOur signal processing pipelines are using hundreds/thousands of VM hours, the monitoring of their performance can be tricky, enhancing our tooling is essential to select the next candidate for cost optimisation.\nWhat We Have To Offer:\nOpportunity to make an impact at a young, venture-backed company in an emerging market\nCollaboration with smart and motivated engineers and ability to execute your vision in a high impact role\nCompetitive salary and benefits\nZendar 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.\n\nZendar participates in E-Verify","company":"Zendar","rawCompany":"zendar","city":"Berkeley","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-14T10:31:25.578Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Signal Processing Data Engineer","description":"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?\nZendar 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.\nYou don't have to fit in a box. We are not looking for a superhero. But we might be looking for you!\nWho We Are:\nAutonomous 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.\nWhat 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 (https://www.youtube.com/watch?v=MUxE2T2Qe8g) - all produced with only radar information, no camera and no lidar!\nZendar 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.\nZendar is backed by Tier-1 VCs, has raised more than $50M in funding and has established strong partnerships with industry leaders.\nWho You Are:\nTo 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!\nWe 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.\nYou 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.\nKey Responsibilities:\nML Data Management:\nMaintain and grow a robust and reliable data lake in GCP for our proprietary training and evaluation data.\nEnsure robust data quality control with carefully designed algorithms.\nGrow our data lookup capabilities for data selection for labeling and model training.\nOwn data quality algorithms and actively monitor data corruption in the datalake\nSupport for ML Engineers:\nServe as liaison to support Berkeley, Paris & German office ML engineers (Human annotation processing, data calibration, data upload issues)\nSetting and Maintaining Infrastructure Standards:\nBe a go-to resource for solving infrastructure-related challenges, fostering a culture of ownership and accountability in the team.\n\nWhat We're Looking For:\n5+ years in Data Science, MLOps or similar\nStrong algorithmic and optimization skills, especially in statistics and signal processing.\nDeep experience with cloud computing platforms (GCP or other), production-grade database design/deployment and Cloud-native ML workflow.\nBroad knowledge of data engineering and MLOps tools (Lambda, Kubernetes, Terraform).\nProficiency with Python and SQL queries.\nA proactive approach to solving problems and willingness to take on new challenges as they arise.\nSomebody with solid opinions based on experience, yet open-minded and flexible to find the best solution for the situation.\nAbility to work from the office in Berkeley at least from Tuesday to Thursday.\nBonus Points:\nPrior experience in ADAS or sensor data processing pipelines (radar, lidar).\nFamiliarity with Google BigQuery and related data visualization tools.\nExperience with production-grade serverless batch/streaming applications.\nHands-on experience in the management of large datalakes (>1PB).\nNoSQL database design/deployment experience.\nA track record of excelling in ambiguous or evolving roles.\nWhat You Would Work On:\nWhen sorting through 1000s of hours of data, understanding what is in our training data is critical! Leveraging existing camera object detection models and automating data labeling is the logical next step, significantly reducing manual effort and streamlining the data pipeline. As the research requirements change, the camera model integration needs to seamlessly adjust as well.\nSensors and vehicle calibrations can drift unexpectedly, which if undetected significantly harms the quality of results. We need to automatically identify calibration drifts and correct them before data is consumed, so that data users can have high trust in the quality of the data they work with.\nEnriching our ground truth data with KPIs designed by the Product and push them to production.\nOur signal processing pipelines are using hundreds/thousands of VM hours, the monitoring of their performance can be tricky, enhancing our tooling is essential to select the next candidate for cost optimisation.\nWhat We Have To Offer:\nOpportunity to make an impact at a young, venture-backed company in an emerging market\nCollaboration with smart and motivated engineers and ability to execute your vision in a high impact role\nCompetitive salary and benefits\nZendar 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.\n\nZendar participates in E-Verify","datePosted":"2026-04-14T10:31:25.578Z","dateModified":"2026-04-14T10:31:25.578Z","hiringOrganization":{"@type":"Organization","name":"Zendar","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Berkeley","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e85368ce5d58b648dd43e1e9"},"url":"https://jobsearcher.com/jobs/e85368ce5d58b648dd43e1e9"}}