Company Description

Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent and affordable solutions for vehicles, machines, traffic and transportation. In 2024, Continental generated preliminary sales of €39.7 billion and currently employs around 190,000 people in 55 countries and markets.

Job Description

We are looking for a highly skilled Automotive Calibration Engineer to develop robust, targetless intrinsic and extrinsic calibration techniques for a multi-fisheye camera system using SLAM, visual-inertial odometry (VIO), and optimization-based approaches. The ideal candidate will have a strong background in computer vision, camera geometry, and mathematical optimization, as well as hands-on experience with real-world automotive sensor setups.

Key Responsibilities

Design and implement targetless calibration pipelines (intrinsic & extrinsic) for a 4-fisheye camera setup using SLAM, structure-from-motion, and bundle adjustment techniquesDevelop online and offline calibration tools that can self-initialize in real-world driving scenarios without artificial targets or calibration boardsIntegrate visual (and optionally inertial or GNSS) data to refine multi-camera poses in a common coordinate frameCollaborate with perception and localization teams to ensure accurate sensor alignment for downstream tasksValidate calibration quality with ground truth comparisons and track performance across environmental conditionsDeploy calibration solutions into embedded or automotive-grade compute platforms (e.g., NVIDIA DRIVE, Qualcomm AD stack)Create tooling and diagnostics for production and validation workflows.

Qualifications

Mathematical Skills

Strong grasp of multi-view geometry (projective geometry, essential/fundamental matrices, epipolar geometry)In-depth knowledge of camera models, especially equidistant and omnidirectional fisheye models (e.g., Kannala–Brandt)Solid understanding of nonlinear optimization, particularly bundle adjustment, pose graph optimization, and least squaresExperience with graph-based SLAM (e.g., g2o, Ceres, GTSAM) and probabilistic sensor fusion

Programming Skills

C++ and Python proficiencyFamiliarity with OpenCV (especially fisheye calibration modules), Eigen, and ROS2Hands-on experience with SLAM libraries such as ORB-SLAM, COLMAP, OpenVINS, Kimera, or custom pipelinesExperience with GPU acceleration and parallel computing (CUDA, OpenMP) is a plus

Tools & Frameworks

Experience with camera/sensor simulation or playback toolsProficient with version control (Git), CI/CD, and containerization (Docker)Exposure to automotive standards (e.g., AUTOSAR, ISO 26262) is a plus

Preferred Qualifications

Master’s or PhD in Computer Vision, Robotics, Applied Mathematics, or related field3+ years of experience in automotive sensor calibration, SLAM, or sensor fusion rolesFamiliarity with multi-sensor extrinsic calibration (camera to IMU, radar, LiDAR) and real-world deployment challengesExperience with real-time calibration or self-calibration in production vehicles.

Additional Information

What We Offer

Competitive compensation and a wide range of benefits, including:Bonus systemAnnual flexible benefit (Cafeteria)Private health insuranceEmployee discountsSport pass supportContinuous development with access to numerous trainings, including technical skills, soft skills and language skillsPersonal career development and a challenging role with end-to-end responsibilityOpportunity to see your ideas turn into reality with our test vehiclesAbility to directly deliver software into real, innovative productsEasily accessible office location in downtown Budapest (near Kálvin square). 

Ready to drive with Continental? Take the first step and fill in the online application.