Automotive Calibration Engineer â Targetless SLAM-based Calibration (Fisheye Cameras)
Automotive Calibration Engineer â Targetless SLAM-based Calibration (Fisheye Cameras)
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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 techniques
- Develop online and offline calibration tools that can self-initialize in real-world driving scenarios without artificial targets or calibration boards
- Integrate visual (and optionally inertial or GNSS) data to refine multi-camera poses in a common coordinate frame
- Collaborate with perception and localization teams to ensure accurate sensor alignment for downstream tasks
- Validate calibration quality with ground truth comparisons and track performance across environmental conditions
- Deploy 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. KannalaBrandt)
- Solid understanding of nonlinear optimization particularly bundle adjustment pose graph optimization and least squares
- Experience with graph-based SLAM (e.g. g2o Ceres GTSAM) and probabilistic sensor fusion
Programming Skills
- C and Python proficiency
- Familiarity with OpenCV (especially fisheye calibration modules) Eigen and ROS2
- Hands-on experience with SLAM libraries such as ORB-SLAM COLMAP OpenVINS Kimera or custom pipelines
- Experience with GPU acceleration and parallel computing (CUDA OpenMP) is a plus
Tools & Frameworks
- Experience with camera/sensor simulation or playback tools
- Proficient with version control (Git) CI/CD and containerization (Docker)
- Exposure to automotive standards (e.g. AUTOSAR ISO 26262) is a plus
Preferred Qualifications
- Masters or PhD in Computer Vision Robotics Applied Mathematics or related field
- 3 years of experience in automotive sensor calibration SLAM or sensor fusion roles
- Familiarity with multi-sensor extrinsic calibration (camera to IMU radar LiDAR) and real-world deployment challenges
- Experience 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 system
- Annual flexible benefit (Cafeteria)
- Private health insurance
- Employee discounts
- Sport pass support
- Continuous development with access to numerous trainings including technical skills soft skills and language skills
- Personal career development and a challenging role with end-to-end responsibility
- Opportunity to see your ideas turn into reality with our test vehicles
- Ability to directly deliver software into real innovative products
- Easily accessible office location in downtown Budapest (near Klvin square).
Ready to drive with Continental Take the first step and fill in the online application.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
