Calibration/Localization Algorithm Engineer- Automotive Industry
Full Time • Auburn Hills, MI
Benefits:
- 401(k)
- 401(k) matching
- Relocation bonus
Job Title: Calibration/Localization Algorithm Engineer-
Location: Auburn Hills, Michigan
Mandatory Requirement:
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).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 ECUsKnowledge of product development engineering practices in automotive fieldKnowledge of embedded software development in C/C++ for 16-bit and 32-bit micro-controllers such as PPC microcontrollers, ARM Core, or DSPWorking knowledge in structured engineering approachWorking 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 modelWorking knowledge of configuration management (preferably PTC/MKS), project monitoring and control techniquesStrong background in mathematics, signal/image/video processingExperience with version control (Git) and requirement management tools (like PTC Integrity)Knowledge of structured problem solving (8D) methods and/or techniquesNormal amount of sitting and standing, average mobility to move around an office and plant environment, able to conduct normal amount of work on a computer.
Location: Auburn Hills, Michigan
Mandatory Requirement:
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).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 ECUsKnowledge of product development engineering practices in automotive fieldKnowledge of embedded software development in C/C++ for 16-bit and 32-bit micro-controllers such as PPC microcontrollers, ARM Core, or DSPWorking knowledge in structured engineering approachWorking 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 modelWorking knowledge of configuration management (preferably PTC/MKS), project monitoring and control techniquesStrong background in mathematics, signal/image/video processingExperience with version control (Git) and requirement management tools (like PTC Integrity)Knowledge of structured problem solving (8D) methods and/or techniquesNormal amount of sitting and standing, average mobility to move around an office and plant environment, able to conduct normal amount of work on a computer.
Responsibilities:
- 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.
Compensation: $80,000.00 - $90,000.00 per year
MAKING THE INDUSTRY’S BEST MATCHES
DBSI Services is widely recognized as one of the industry’s fastest growing staffing agencies. Thanks to our longstanding experience in various industries, we have the capacity to build meaningful, long-lasting relationships with all our clients. Our success is a result of our commitment to the best people, the best solutions and the best results.
Our Story:
Our Story:
- Founded in 1995
- Privately Owned Corporation
- Managing Partner Business Model
- Headquartered in New Jersey
- US Based Engineers Only
- Collaborative Team Approach
- Methodology and Process Driven
GET HIRED
Top performing engineers are the foundation of our business. Our priority is building strong
relationships with each employment candidate we work with. You can trust our professional
recruiters to invest the time required to fully understand your skills, explore your professional
goals and help you find the right career opportunities.
relationships with each employment candidate we work with. You can trust our professional
recruiters to invest the time required to fully understand your skills, explore your professional
goals and help you find the right career opportunities.
(if you already have a resume on Indeed)