Deep Learning Innovator
Join the northern star of autonomous drive, shape the future of deep learning, work with the brightest - in a warm inclusive culture where it's safe to fail - and save millions of lives in the process
Do you want to work with taking Deep Learning to the next level? Do you want to join a front runner in deep learning 2.0, the northern star of autonomous drive, where you'll work with cutting-edge technology and work together with some of the brightest people out there? How about doing this in a warm inclusive culture - and be able to help save millions of lives in the process? Apply today - no CV needed at first stage, all we need is your name, email and phone number! We'll cover the rest later.
Insights from the team
Zenseact is increasingly using deep learning networks in our AD/ADAS software stack. Future concepts might make use of data sequences, allowing the networks to recognize and reason about temporal patterns related to motion, interactions and intentions of the other road users, and learn related representations. We are now adding resources to our deep learning teams in order to make make use of the new opportunities that can enable a superior product.
Your mission and day-to-day tasks
You are going to make road traffic safer through developing software that support human drivers, and control vehicle motion autonomously. Our deep learning teams have different purposes, for example training infrastructure, data curation, data refinement, network architecture, active learning, object detection, freespace detection, lane detection, and localization. We are currently using DL networks for both vision and lidar data streams. The usage is expected to be expanded into other parts of the stack, for instance data fusion, and using temporal processing.
We work in teams with backlogs and sprints, making continuous refinements, and performing retrospectives to grow and learn both as individuals and as a team.
If this sounds interesting, please apply and tell us about how you like to contribute!
Qualifications & experience
You are an innovative and motivated person with a strong background and interest for advanced deep learning for AD/ADAS applications.
Essential experience
- Masters degree in Engineering, Information Systems, Computer Science, or related field
- Experience with camera or lidar based perception with deep learning
- Strong interest in making traffic accidents extinct
In addition, we believe you meet the following requirements:
- Enjoy working in an international organization with people from different cultures
- Share the Zenseact values
- Passion for technology and innovation
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.
- Competence area
- Engineering Roles
- Locations
- Gothenburg, Sweden
- Remote status
- Hybrid Remote
Gothenburg, Sweden
About Zenseact
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.
Deep Learning Innovator
Join the northern star of autonomous drive, shape the future of deep learning, work with the brightest - in a warm inclusive culture where it's safe to fail - and save millions of lives in the process
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