Sr Engineer ADAS Tools and Ground Truth

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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 LiDARs 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 requirements and proactively support cross-functional teams.

Education & Experience

• Bachelors degree in computer engineering Software Engineering Electrical Engineering Computer Science or related field (masters preferred).
• 14 years of relevant experience in software tool development; experience with automotive data logging or reprocessing systems is a plus.
• Experience in automotive workflows strongly preferred.

Technical Skills

• Programming: C (required) Python (required) C C# PySpark.
• Database: SQL (PostgreSQL MySQL) NoSQL data modeling and query optimization.
• Cloud: AWS (preferred) Azure Databricks.
• Image Processing: OpenCV sensor data visualization.
• Tools: PTC Integrity Codebeamer ADTF ROS Docker Git CI/CD.
• Strong proficiency with MS Office.

Soft Skills

• Strong communicator with stakeholders at all levels.
• Skilled in decision-making prioritization and agile teamwork.
• Analytical goal-oriented and able to manage multiple tasks effectively.

Languages

• Fluent in English (verbal and written).

Travel

• Willingness to travel domestically and internationally as required.

Desired Competencies

• Innovative mindset with the ability to propose and deliver new solutions.
• Strong problem-solving and conflict-resolution skills.
• Risk management awareness with a focus on maintaining tool quality and reliability.

At Magna we believe that a diverse workforce is critical to our success. Thats 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.

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.

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