Computer Vision Engineer-C++ | Camera & LiDAR | Autonomous Driving

Hykmann Global Business Solutions AB; Göteborgs kommun; On-site; SEK 700,000 - 950,000; Full time

Job summary

Hykmann Global Business Solutions AB is seeking an experienced Computer Vision Engineer to advance camera and LiDAR-based perception for autonomous driving. The role focuses on developing and optimizing high-performance CV algorithms and integrating them into real-time Linux software.

The candidate will contribute across calibration, localization, odometry and 3D reconstruction, collaborating with cross-functional teams to bring research ideas to production-ready solutions.

Qualifications

• Several years of relevant industry experience in computer vision or related field.
• Strong programming skills in C++, with focus on high-performance, maintainable code.
• Background in computer vision, robotics, or related technical discipline.
• Strong understanding of mathematics used in geometric computer vision.
• Experience with sensor data processing and real-time systems.
• Ability to translate research results into production-ready software.
• Experience collaborating across engineering teams.

Responsibilities

• Design, develop and optimize CV algorithms for camera- and LiDAR-based systems.
• Develop geometric CV solutions, including odometry, calibration, localization and 3D reconstruction.
• Develop real-time calibration and vehicle positioning methods.
• Lead product development from concept to integration and testing.
• Build high-performance C++ software for real-time Linux environments.
• Evaluate algorithms using simulations, HIL setups and real-world tests.
• Create Python tools for monitoring and visualization of performance.
• Collaborate across CV, deep learning and platform engineering teams.

Skills

C++ programming

High-performance software

Geometric CV

Sensor data

Linux RT

Python tooling

Mathematics

Team collaboration

Education

Master's degree in Computer Science or related field

Tools

CUDA

ROS

OpenCV

PCL

Job description

Computer Vision Engineer-C++ | Camera & LiDAR | Autonomous Driving

Hykmann Global Business Solutions AB

We’re Hiring: Experienced Computer Vision Engineer - C++ | Camera & LiDAR | Autonomous Driving

Company: Hykmann Global Business Solutions AB

Role: Experienced Computer Vision Engineer

Experience: Several years of relevant industry experience

About the Role

Hykmann Global Business Solutions AB is looking for an experienced Computer Vision Engineer to contribute to the development of advanced computer vision algorithms and intelligent perception systems for next-generation mobility and autonomous technologies.

You will work on high-performance algorithms involving camera and LiDAR data, focusing on calibration, vehicle motion estimation, vision-based localization and geometric computer vision.

The role offers an opportunity to work across the complete software development lifecycle, from research and proof of concept to production-ready implementation, simulation and real-world testing.

Key Responsibilities

• Design, develop and optimize computer vision algorithms for camera- and LiDAR-based systems.
• Develop geometric computer vision solutions, including visual odometry, camera calibration, localization and 3D reconstruction.
• Develop algorithms for real-time calibration and vehicle positioning.
• Drive product development from initial concepts and requirements through implementation, code reviews, integration and testing.
• Develop high-performance, maintainable and production-grade C++ software for real-time systems running on Linux.
• Perform algorithm evaluation and verification using simulation environments, Hardware-in-the-Loop (HIL) setups and real-vehicle testing.
• Develop Python-based tools for monitoring, analysing and visualizing algorithm performance.
• Conduct experiments, evaluate research findings and transform theoretical concepts into practical engineering solutions.
• Analyse performance metrics and real-world datasets to improve algorithm accuracy, reliability and efficiency.
• Collaborate with multidisciplinary teams across computer vision, deep learning and platform engineering.
• Contribute to software architecture, technical discussions and continuous improvement initiatives.

Required Skills & Experience

• Strong programming skills in C++, with experience developing high-performance and maintainable software.
• Several years of relevant professional experience in software development or algorithm engineering.
• Background in Computer Vision, Robotics, Computer Science, Software Engineering, Electrical Engineering or a related technical discipline.
• Strong understanding of mathematics relevant to geometric computer vision.
• Practical experience developing computer vision algorithms and working with sensor data.
• Experience integrating software into complex products or real-time systems.
• Ability to translate mathematical models, research findings and theoretical concepts into production-ready software.
• Experience working across software development, testing and integration activities.
• Strong analytical and problem-solving capabilities.
• Good communication and collaboration skills.

Meritorious Experience

• Camera and LiDAR-based perception systems.
• Autonomous driving and Advanced Driver Assistance Systems (ADAS).
• Visual odometry, sensor calibration and localization.
• Deep Learning and its application in computer vision.
• Python programming for engineering tools, data analysis and visualization.
• GPU programming, CUDA and parallel computing.
• Computer graphics and 3D reconstruction.
• Embedded software development and Linux-based systems.
• Hardware-in-the-Loop (HIL) testing and simulation environments.
• Software architecture, system design and requirements management.
• Continuous Integration/Continuous Delivery (CI/CD) and Agile development.
• Contributions to open-source projects, technical publications or research initiatives.

What We’re Looking For

We are looking for a technically strong and curious engineer who enjoys solving complex engineering problems through a combination of mathematical reasoning, algorithm development and practical software engineering.

The ideal candidate should be comfortable working independently, collaborating with multidisciplinary engineering teams and taking ownership of technical solutions from concept to implementation.

You should also be passionate about emerging technologies, continuous learning and transforming innovative ideas into reliable real-world applications.

Utbildning

Krav

• Forskarutbildning inom Teknik och teknisk industri

Kompetenser

• Inbyggda system/Embedded system