Do you want to work with advanced computer vision algorithms that run in real vehicles shortly after your work being committed? Do

you enjoy solving real-world challenges using C++, geometry, and rich sensor data from cameras and LiDAR? Are you looking for a

place where your code reaches real vehicles fast, collaboration and teamwork are at the core, and your ideas help shape the future

of intelligent systems and physical AI?

INSIGHTS FROM THE TEAM

We develop solutions for calibration, vehicle motion estimation, and precise positioning using data from cameras and LiDAR,

bringing perception to life in real‑world driving scenarios. Our work blends mathematical modeling, geometric computer vision, and

modern C++ with practical testing in vehicles. We continuously evaluate and refine our algorithms through performance metrics,

visualization tools, and diverse real‑world datasets collected across teams.

As a team, we value curiosity, collaboration, and an evidence-driven approach. We share knowledge openly, challenge ideas

constructively, and focus on turning theory into robust features that run reliably on embedded systems. Working in a hybrid setup,

we support each other in staying grounded, practical, and accountable while delivering results that matter.

YOUR MISSION AND DAY-TO-DAY TASKS

In this role, you will design, implement, and refine algorithms that improve and sharpen our perception stack. You’ll work across

the full development cycle, from early concept exploration to testing in simulation, HIL setups, and real vehicles. Collaborating

closely with experts in computer vision, deep learning, and platform engineering, you’ll help shape product direction while

keeping performance, reliability, and safety at the core.

Typical tasks on a day to day include:

Developing new and improving existing algorithms and solutions for camera and LiDAR based real-time calibration and

localization.

Developing geometric computer vision algorithms, including visual odometry, calibration, localization, and 3D reconstruction.

Driving product development from proof of concept and requirements through implementation, review, integration, and testing.

Writing and reviewing production-grade C++ for safety-critical, real-time systems running on Linux.

Running experiments and evaluations in HIL environments and in-vehicle testing.

Building tools in Python to monitor, evaluate, and visualize algorithm behavior.

Reading research, building proofs of concept, and transforming findings into production-ready code.

WHAT’S IN IT FOR YOU

Work with cutting-edge tech at one of Sweden’s most interesting, challenging, and innovative AI/ML companies.

Collaborate with highly skilled, innovative, creative, and smart people.

Work with people from all over the world, close to where science is becoming real-world technology.

Enjoy a flexible work approach and a genuinely good work-life balance.

QUALIFICATIONS & EXPERIENCE

You bring several years of experience developing algorithms in complex products, and you enjoy balancing practical engineering

with solid mathematical reasoning. You thrive in collaborative environments, take initiative, and like turning ideas into

measurable results. You appreciate clear communication, shared ownership, and supporting your teammates.

You are comfortable navigating challenges, learning new concepts quickly, and seeing the bigger picture across system boundaries.

Essential experience

Solid C++ programming skills, with the ability to write performant, testable, and maintainable code.

A background in computer vision, robotics, software engineering, computer science, electrical engineering, or a related field.

Several years of relevant industry experience, hopefully across multiple development cycles.

Experience integrating software into complex products.

Ability to work with mathematics relevant to geometric computer vision.

Demonstrated ability to apply research or theoretical ideas in practice.

Nice-to‑have, but not essential

Industrial computer vision experience.

Experience in system design, requirements management, or software architecture.

Background from related industries such as robotics, aviation, defense, medical devices, automotive, trucks, construction

equipment, computer graphics, or 3D game development.

Python experience for tooling and analysis.

Experience from using and evaluating deep learning models within computer vision

GPU programming (CUDA), computer graphics, or embedded software experience.

Experience with continuous integration/delivery or agile methods.

Contributions to open-source projects, publications, or personal repositories showcasing practical work.

This role may have access to sensitive information, trade secrets, and confidential data. As part of the recruitment process, the

selected candidate might undergo a background check.

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 and Lund, Sweden and Munich in Germany. 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, and

faster.

Culture with people at heart

To achieve our mission of saving lives and ending traffic accidents we must 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 continuously, so we highly recommend that you submit your application at your earliest convenience.

Role

Experienced Computer Vision Engineer

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