Sr Engineer - ADAS Tools and Ground Truth

Design, develop, and maintain reprocessing (re-simulation) systems to replay recorded sensor data through perception and system software for validation and regression testing. Hands-on experience with vehicle-level reference sensor systems supporting ground truth, including installation, calibration, synchronization, and logging validation.

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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:

Summary

The System Tool Developer to design, develop, and maintain system test tools for autonomous and ADAS vehicle development, including data logger and reprocessing systems for Camera, ultrasonic sensor, and radar data. The ideal candidate will build robust, scalable tools that enable efficient data collection, validation, and re-simulation across the development lifecycle. Engineer will apply strong software engineering practices and collaborate across global teams to deliver reliable tooling that enables ADAS/AD development.

Key Responsibilities

• Excellent understanding of image and LiDAR based annotation concepts, along with validation processes.
• Hands-on experience with vehicle-level reference sensor systems supporting ground truth, including installation, calibration, synchronization, and logging validation.
• Design, develop, and maintain data logger systems for in-vehicle recording of Camera, ultrasonic sensor, radar, and vehicle bus data, ensuring data integrity and time synchronization.
• Design, develop, and maintain reprocessing (re-simulation) systems to replay recorded sensor data through perception and system software for validation and regression testing.
• Develop system test tools and frameworks supporting HIL/SIL testing, data validation, and automated test execution.
• Build and optimize data processing pipelines handling large-scale sensor data across formats (MDF4, CSV, ORC, MP4, Parquet).
• Design and maintain cloud-based infrastructure for data ingestion, storage, reprocessing, and retrieval (AWS or similar).
• Develop image processing components for sensor data visualization, quality checks, and analysis tooling.
• Design and maintain database schemas and services for test data management, metadata indexing, and efficient retrieval.
• Collaborate with data collection, annotation, sensor calibration, and software teams to align tooling with development and validation needs.
• Gather, analyze, and document tool requirements from internal and external stakeholders.
• Conduct code reviews, write unit/integration tests, and maintain CI/CD pipelines to ensure tool quality and reliability.
• Provide user support, documentation, and training for developed tools across global teams.
• Stay updated on industry best practices in test tooling, data logging, and cloud technologies.

Qualifications & Skills:

• Annotation Methods and Concepts
• Reference sensorics and HW (IMUs, GPS, LiDAR's and similar products)
• Experience in developing system test tools, data loggers, or reprocessing/re-simulation systems in automotive or autonomous vehicle settings.
• Strong proficiency in C++ and Python for tool and application development.
• Strong understanding of Camera, ultrasonic, and radar sensor data, data logging concepts, and time synchronization.
• Experience with database design and development (SQL and/or NoSQL).
• Experience with cloud development, preferably AWS (S3, EC2, Lambda, or similar services).
• Solid knowledge of image processing techniques and libraries (e.g., OpenCV).
• Familiar with autonomous driving standards, ADAS systems, and sensor calibration is a plus.

Process & Project Management

• Monitor and track project progress against schedules.
• Ensure efficient use of resources and effective task prioritization.
• Contribute to process definition, safety standards, and validation methods.
• Anticipate project