Engineer II - Algorithm Engineer, Perception

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What we offer:

At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

Group

Summary:

Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That’s what we’re passionate about at Magna Electronics, and we do it by creating world-class Electronic systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex Electronic systems. Our name stands for quality, environmental consciousness, and safety.

Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Electronics.

Job Responsibilities:

JOB SUMMARYWe are seeking an experienced Perception Development Engineer specializing in automotive radar target tracking to develop next-generation safety and driver assistance  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 KnowledgeA 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,…