Vacant job

Avaron AB is a growing consultancy focused on technology, finance, and business support. We match your expertise with the market's most interesting assignments, offering a platform where your professional development is central.

You will join a team within the automotive sector focused on next-generation ADAS and autonomous driving. The mission is to develop camera-based perception capabilities, where accurate camera calibration is a critical enabler for translating image observations into real-world coordinates and supporting safe, reliable driving functions.

In this role, you will work at the intersection of computer vision, machine learning, and embedded systems—balancing state-of-the-art algorithm development with system availability and hardware constraints for both development and production environments.

• Design and develop machine learning–based algorithms and frameworks for camera calibration
• Create solutions that support both development and production platforms
• Enable accurate positioning for camera-based functions that output data in real-world coordinates
• Provide ground truth support for data annotation used in development and validation, including reference sensor cross-calibration
• Contribute to sensor fusion enablement with LiDAR, radar, and other onboard sensors
• Help ensure consistency in multi-camera systems enabling 360° surround view coverage
• Support online (dynamic) and offline calibration tools, including calibration monitoring and validation
• Collaborate with specialists across perception-related domains to enable core ADAS/AD functions such as detection of vehicles, pedestrians, cyclists, lanes/road boundaries, static objects, traffic signs, and traffic lights

• Strong theoretical and practical expertise in machine learning
• Experience in algorithm development within geometric vision, robotics, or a strong mathematical background
• Solid software development experience, preferably in C, C++, and Python
• Systems engineering experience, preferably within embedded systems
• MSc degree in mathematics, image/signal processing, computer science, or a related field
• Fluency in English

• Experience deploying machine learning models on embedded platforms
• Deep knowledge of computer vision geometry (e.g., projective geometry, camera models, epipolar geometry, homographies) and optimization techniques
• Proficiency in Swedish

Selections are made on an ongoing basis, so we recommend that you apply as soon as possible.