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What we offer:

Group Summary:

JOB SUMMARY

We are seeking an experienced Perception Development Engineer specializing in automotive radar target tracking to develop next-generation safety and driver assistance systems.

In this role, you will design and enhance tracking and stationary environment modelling algorithms that enable robust environment perception using radar sensors. You will work in a highly dynamic, multi-project environment, delivering high-quality solutions across multiple customers and programs.

This position is ideal for engineers with a strong background in radar signal processing and multi-target tracking, with optional exposure to machine learning–based perception techniques.

JOB FUNCTIONS (ESSENTIAL)

• Design and develop radar-based perception and target tracking algorithms for ADAS to improve perception performance, including extended object tracking and point cloud processing
• Implement and integrate algorithm software modules for embedded real-time systems and in-vehicle testing
• Analyze defects and test results to ensure KPI achievement by root causing the issues and designing algorithm improvements
• Perform testing and validation (simulation, unit test, and vehicle-level) to ensure robustness and accuracy
• Collaborate with cross-functional and global teams to deliver end-to-end solutions
• Participate in Agile development, including process compliance, code reviews and continuous integration
• Conduct technical research to explore new methods for improving system performance
• Thrive in a fast-paced, high-tech environment supporting multiple projects

Education/Experience

• Bachelor or Master degree in Electrical/Computer Engineering, Computer Science, Robotics or related fields (Master preferred)

Technical Knowledge

• A minimum of 3+ years of industrial experience in in one or more of the following areas: Extended Object Detection/Segmentation/Tracking, Point cloud processing in Lidar, Radar, Vision, or Sensor fusion
• Knowledge of probabilistic estimation and filtering techniques
• Experiences on fast Machine Learning development cycle; Solid experience on applying Machine Learning technologies to Lidar, Radar or sensor fusion is a plus
• Strong mathematical and problem-solving skills; Knowledge of radar principles and measurement models is a plus
• Hands-on experience in algorithm development and realization in embedded real–time system
• Strong debugging, performance analysis, and problem-solving skills

Hiring Salary Range: $66,000 - $124,000 ( Salary to be determined by the education, experience, knowledge, skills and abilities of the applicant, internal equity and alignment with market data)

This role is not eligible for visa sponsorship. Candidates must have current and ongoing authorization to work in the United States.

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.

Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.