What are the responsibilities and job description for the Localization Algorithm Engineer position at Global Applications Solutions?
Job Details
Job Title: Calibration/Localization Algorithm Engineer
Location: Auburn Hills, Michigan (Onsite)
Job Summary:
We seek a Calibration/Localization Algorithm Engineer with strong computer vision, image processing, and mathematical modelling expertise. The ideal candidate will focus on developing and optimizing algorithms for surround-view camera calibration, perspective transformations, and Visual SLAM (Simultaneous Localization and Mapping) to support our advanced driver assistance systems (ADAS).
Key Responsibilities:
- Develop and improve calibration algorithms for multi-camera systems.
- Correct lens distortion and camera misalignment issues.
- Create algorithms for 2D-to-3D image transformation and vice versa.
- Apply projective geometry techniques such as homography and perspective transformation.
- Design and implement real-time Visual SLAM algorithms for localization and mapping.
- Perform feature extraction, matching, and tracking.
- Integrate SLAM with sensor data (LiDAR, IMU) for enhanced accuracy.
- Optimize algorithm performance for low latency in real-time, safety-critical automotive systems.
- Troubleshoot and resolve issues related to sensor data and algorithm processing.
- Validate algorithms with real-world data and simulations.
- Collaborate with cross-functional teams for seamless integration into ADAS and safety features.
- Ensure compliance with automotive safety standards (e.g., ISO 26262).
Required Qualifications:
Education & Experience:
- Master s degree in Electrical Engineering, Electronics Engineering, Computer Science, or a related field.
- Minimum 5 years of experience in computer vision, image processing, and machine learning.
Technical Skills:
- Proficiency in C/C and Python.
- Experience with camera calibration tools (OpenCV, ROS).
- Strong knowledge of perspective transformations and 3D reconstruction.
- Familiarity with Visual SLAM frameworks (ORB-SLAM, LSD-SLAM, RTAB-Map).
- Experience with ADAS systems and sensor fusion.
- Understanding of deep learning applications in computer vision.
- Real-time processing and optimization experience.
- Embedded software development experience (16-bit/32-bit microcontrollers: PPC, ARM, DSP).
- Familiarity with automotive software development practices (e.g., ASPICE, CMMi).
- Working knowledge of version control (Git) and requirement management tools (e.g., PTC Integrity).
- Structured engineering and software development methodologies.
- Experience with configuration management tools (preferably PTC/MKS).
- Strong background in math, signal, and video processing.
- Understanding of structured problem-solving methods (8D).
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