Software Developer
ZENSEACT AB · Göteborg · Tills vidare · Deadline 2026-12-01
Zenseact is recruiting a **Software Developer** to work on advanced driver-assistance systems (ADAS) and autonomous driving (AD) safety software. The role focuses on developing complete software stacks that combine rule-based code and deep learning algorithms across domains such as sensor fusion, computer vision, object detection, positioning, and actuation. Working within an agile culture, the position contributes to accelerated development cycles and continuous software updates aimed at improving vehicle safety and eliminating traffic accidents. Candidates need strong programming abilities in **C++ and Python**, combined with experience in AI, machine learning, or deep learning. The role also calls for exceptional programming skills in Unity3D and Qt, alongside knowledge of OpenCV or OpenGL, systems engineering or architecture, and continuous integration and deployment. Applicants should bring background in developing embedded real-time applications, automated toolchains, and expertise in an ADAS or AD feature. Relevant automotive industry insight—including **MISRA C++, ISO26262, and ASIL**—is required, while familiarity with deep learning frameworks such as PyTorch or TensorFlow is considered an advantage.
Zenseact is an applied automotive AI company developing world-leading safety software for AD and ADAS. Our technology encompasses every aspect of automation, from sensor fusion, computer vision, and object detection to positioning and actuation, using a combination of rule-based code and deep learning algorithms.
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. And we could use your help.
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. That's summarized in our purpose statement: Towards zero. 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.
Who are you?
- Strong programming skills within C++, Python,
- AI/Machine Learning/Deep Learning experience.
- Exceptional programming skills with Unity3d, Qt
- Knowledge and experience with OpenCV or OpenGL
- Knowledge of Deep Learning Frameworks like PyTorch or TensorFlow is a plus
- Software development experience in one or more general purpose programming languages
- Insight in the automotive industry and knowledge of MISRA C++, ISO26262 and ASIL
- Experience of developing embedded real time applications
- Solid knowledge of systems engineering/architecture
- Secure knowledge within continuous integration and deployment
- Experience from defining, building and testing automated toolchains
- Expert in any ADAS/AD feature
- An enthusiastic person who thrives in an agile working culture
With the skillset and mindset described you have the chance to contribute to our purpose, to go towards zero. Faster.
We are really excited to welcome candidates with these skills so don't hesitate to take the chance of a lifetime!
Why join
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.