Are you a data engineer with experience of designing data processing pipelines? Would it motivate you to work with highly skilled people, helping to create the first self-driving car and saving millions of lives in the process? Well, take a chance and apply today, all we need is your email and phone number!
Insights from the team
Zenseact is flooded with a stream of sensor data from our collection fleet. Our data team's mission is to build the machine which can concentrate this data for Zenseact's perception stack development. The data will be used in the development of our Deep Learning based parts of our product, an increasingly important part of our development strategy.
As a member of our team, you will be responsible for expanding our core database layer, optimizing our annotation pipeline, and refining the curation framework. These components collectively orchestrate the management of data which is essential for data-driven perception solutions. In doing so, you will be enabling Zenseact in building the first fully autonomous car.
Have you been architecting data pipelines and feel that you have a good understanding of how to design solution for high volumes of data?
Then you might be the ideal candidate for our Data Refinery area! We are looking to expand the team with an experienced engineer with keen eyes towards user experience and data pipeline architecture.
Your mission and illustrative day-to-day tasks
Your mission will be to design, develop, and maintain data pipelines that ensure data reliability, scalability, and performance. You will continuously improve the pipeline so that each step become more robust and automated with every issue found. Furthermore, your day-to-day tasks include:
Design the future of our data pipeline making sure the pipeline is well aligned with both technical and end user needs.
- Work with our modern stack for processing multi-sensor vehicle data and the way in which data is processed and fetched from our collection fleet.
Improve our data management for deep learning to enable rapid experimentation and improvement of the perception stack.
- Actively engage with Deep Learning teams to gather feedback (both through direct interactions and automated channels) shaping the course of our data collection and annotation efforts that meet business needs.
- Stay up-to-date with emerging data engineering technologies and best practices.
Qualifications & experiences
- Several years of experience in data engineering with a strong coding background (Python).
- Proven experience in architecting data pipelines
- Track record of successfully handling and processing large volumes of data.
- API design experience
- Experience with SQL database design and use
- Ph.D., M.Sc. or B.Sc. in a related field such as: Computer Science, Machine Learning, Computer Vision, Engineering Physics, Robotics, etc.
If you have experience in architecting data pipelines and share our vision for self-driving cars, we encourage you to apply. Help us make history by building the technology that shapes the future of transportation.
What more do we offer?
Flexible-remote way of working: Zenseact has a flexible and modern approach, thus is happy to offer to its employees the possibility for a combination of work at the office and from home. This doesn't include fully remote work from outside Sweden/China.
More about Zenseact
Our software makes a difference.
Using AI-based technology to create the ultimate driver support, we’re fighting to end car accidents and make roads safe for everyone. Every year, around 1,4 million people die in traffic while approximately 50 million people get injured. Many get disabled as a result of their injury. We can do better.
One purpose, one product.
We’re a software company dedicated to revolutionizing car safety. By designing the complete software stack for autonomous driving and advanced driver-assistance systems, we’re fighting to end car accidents and make roads safe for everyone. Zenseact was founded by Volvo Cars, and the teams are based in Gothenburg, Sweden, and Shanghai, China. When we aim for zero accidents faster, we strive to speed up the transition to safe automation. This is essentially achieved by making cars updatable – like a computer or a phone. With regular software updates, a vehicle can be made safer long after its production. By accelerating improvement loops, shortening development cycles, and deploying high-capacity software quickly, we can make cars safer, faster.
Culture with people at heart
To achieve our mission of saving lives and ending traffic accidents is to go where nobody has before. It requires us to venture into the unknown, pioneering new technology and pushing the frontier of autonomous driving. While there’s no denying our determination and expertise, we must stand united to succeed. By fostering a culture of support and enablement – a place of psychological safety where all of us can thrive – everything else will follow. We call this a people-at-heart culture. This culture means caring. It means the company cares about me, and we care about one another. It means sharing, so we give each other energy and have fun together. Our culture is also about belonging. It’s important to feel at home and that we can be ourselves at work. Finally, a people-at-heart culture means well-being. So, we enjoy the flexibility needed to be and do our best – at work and in life.
Zenseact works proactively to create a culture of diversity and inclusion, where individual differences are appreciated and respected. To drive innovation we see diversity as an asset, which means we value and respect differences in gender, race, ethnicity, religion or other belief, disability, sexual orientation or age etc.
Interviews are held on a continuous basis, so we highly recommend that you submit your application at your earliest convenience.