Position: Calibration/Localization Algorithm Engineer

Location: Auburn Hills Michigan ***Day Onsite***

Job Summary

The Calibration/Localization Algorithm Engineer The ideal candidate will be responsible for developing and optimizing algorithms related to surround view camera calibration, perspective transformations, and Visual SLAM (Simultaneous Localization and Mapping). This role requires strong expertise in computer vision, image processing, and mathematical modeling to improve the precision and reliability of our advanced driver assistance systems.

Job Functions (essential)

Develop and enhance calibration algorithms for multi-camera systems.

Implement procedures to correct lens distortion and camera misalignment.

Develop algorithms for converting 2D images into 3D models and back to 2D projections.

Apply mathematical techniques such as homography and projective transformations.

Design and implement Visual SLAM algorithms for real-time localization and mapping.

Utilize techniques for feature extraction, matching, and tracking.

Integrate SLAM algorithms with data from other sensors (e.g., LiDAR, IMU) to enhance system performance.

Continuously improve the performance of algorithm SW to ensure low latency and high accuracy in real-time, safety-critical automotive environments.

Troubleshoot and resolve technical issues related to sensor data processing.

Validate Algorithms using rea-world data and simulations.

Work closely with hardware, software, and vehicle control engineers to integrate perception algorithms into Advanced Driver Assistance Systems (ADAS) and other safety features.

Ensure all developed perception algorithms and safety systems comply with automotive industry safety standards, such as ISO 26262 for functional safety.

Education/Experience

JOB REQUIREMENTS

Master's degree in electrical engineering, Electronics Engineering, Computer Science Engineering, or a related field.

At least 5 years of hands-on experience in computer vision, image processing, and machine learning.

Proficiency in programming languages such as C/C++, and Python.

Experience with camera calibration techniques and tools (e.g., OpenCV, ROS).

Strong understanding of perspective transformations and 3D reconstruction methods.

Familiarity with Visual SLAM frameworks (e.g., ORB-SLAM, LSD-SLAM, RTAB-Map).



Technical Knowledge

Experience with automotive ADAS systems and sensor fusion.

Knowledge of deep learning techniques for computer vision applications.

Experience with real-time processing and optimization techniques.

Experience with machine learning algorithm development for embedded ECUs

Knowledge of product development engineering practices in automotive field

Knowledge of embedded software development in C/C++ for 16-bit and 32-bit micro-controllers such as PPC microcontrollers, ARM Core, or DSP

Working knowledge in structured engineering approach

Working knowledge in development of portable, reusable and modular software in automotive environment.

Experience in using a disciplined software development process based on ASPICE or CMMi process model

Working knowledge of configuration management (preferably PTC/MKS), project monitoring and control techniques

Strong background in mathematics, signal/image/video processing

Experience with version control (Git) and requirement management tools (like PTC Integrity)

Knowledge of structured problem solving (8D) methods and/or techniques