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Faurecia

Interior Radar Development Support Engineer

Northville, United States

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Job details

Apply by: May 4, 2027
Posting language: English
Posted: Nov 5, 2026

Original job description

Forvia, a sustainable mobility technology leader

We pioneer technology for mobility experience that matter to people.

Your mission, roles and responsibilities

Our Interior Radar Development Support Engineer will execute the hands-on work of an in-cabin radar system: flashing, calibration, data collection, data quality, dataset preparation, routine machine learning runs and regression testing. Keep the data and test infrastructure organized so that validation and algorithm teams receive usable data quickly. This role works closely with the radar lead, the validation engineer, the data collection team, algorithm, firmware and tools teams.

Key Responsibilities

Flash firmware, ML models and configuration/calibration data onto hardware.
Execute sensor and antenna calibration in chambers, lab setups and vehicles, including headliner integration
Run data collection in vehicles, lab setups and calibration chambers against the collection plan
Check data quality after each session (completeness, label accuracy, synchronization, metadata) and fix issues
Prepare, check and organize datasets (naming, metadata, index) and deliver them to the algorithm team.
Run training and evaluation pipelines defined by the algorithm team; run vehicle tuning evaluations for the validation engineer.
Run regression tests after software, model or configuration updates and report results.
Write and improve Python scripts for flashing, logging, data conversion, quality checks and regression automation.
Operate and help improve data collection, visualization and instrumentation tools.
Reproduce reported issues on the bench and capture logs for root-cause analysis.
Maintain test setups, fixtures, procedures and calibration documentation.
Manage test logistics: test subjects, vehicles and chamber booking.
Support customer demonstrations (setup, execution, data capture).
Other duties or projects as assigned
Commitment to the highest ethical standards and adherence to Faurecia’s Code of Conduct.

Your profile and competencies to succeed

Qualifications

The ideal candidate will have/be:

Minimum education level: Bachelor’s degree in Engineering (electrical, computer, mechatronics, systems, etc.) or equivalent.

Experience:

5 years of experience in the automotive industry (preferably within automotive electronics) in a similar role.
3 years of hands-on experience with electronic hardware, automotive lab equipment and vehicle test benches.
Experience with machine learning concepts and practical execution; MLOps tools, Docker.
Experience with MATLAB or similar tools.

Skills and competencies

Radar or signal processing coursework or projects.
Camera data handling and sensor synchronization.
Automotive communication protocols and associated tools knowledge (CAN, Ethernet).
Familiar with Python pandas and NumPy and running model training / evaluation with PyTorch or TensorFlow.
Able to work with tools, scripts and datasets.
Structured, detail-oriented and consistent approach to testing and documentation.
Ability to collaborate across teams and follow documented procedures.
Comfortable with:
Windows and Linux command-line usage
CSV/JSON/Excel data handling
Git/Jira/Confluence
Ethernet traffic analysis tools
Ability to travel nationally and internationally (<10% international expected).

What we can do for you

At Forvia, you will find an engaging and dynamic environment where you can contribute to the development of sustainable mobility leading technologies.
We are the seventh-largest global automotive supplier, employing more than 157,000 people in more than 40 countries which makes a lot of opportunity for career development.
We welcome energetic and agile people who can thrive in a fast-changing environment. People who share our strong values. Team players with a collaborative mindset and a passion to deliver high standards for our clients. Lifelong learners. High performers. Globally minded people who aspire to work in a transforming industry, where excellence, speed, and quality count.
We cultivate a learning environment, dedicating tools and resources to ensure we remain at the forefront of mobility. Our people enjoy an average of more than 22 hours of online and in-person training within FORVIA University (five campuses around the world)
We offer a multicultural environment that values diversity and international collaboration. We believe that diversity is a strength. To create an inclusive culture where all forms of diversity create real value for the company, we have adopted gender diversity targets and inclusion action plans.
Achieving CO2 Net Zero as a pioneer of the automotive industry is a priority: In June 2022, Forvia became the first global automotive group to be certified with the new SBTI Net-Zero Standard (the most ambitious standard of SBTi), aligned with the ambition of the 2015 Paris Agreement of limiting global warming to 1.5°C. Three principles guide our action: use less, use better and use longer, with a focus on recyclability and circular economy.

Why join us

FORVIA is an automotive technology group at the heart of smarter and more sustainable mobility. We bring together expertise in electronics, clean mobility, lighting, interiors, seating, and lifecycle solutions to drive change in the automotive industry.

With a history stretching back more than a century, we are the 7th largest global automotive supplier, employing more than 157,000 people in 43 countries. You'll find our technology in around 1 out of 2 vehicles produced anywhere in the world.

In June 2022, we became the 1st global automotive group to be certified with the SBTI Net-Zero Standard. We have committed to reach CO2 Net Zero by no later than 2045.

As technological innovation and the need for sustainability transform the automotive industry, we are ideally positioned to deliver solutions that will enhance the lives of road-users everywhere.

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More about this job

Skills

Firmware
ML
Inspect data
Python
Statistical quality control
Root cause analysis
Documentation
Manage tests
Logistics
Mechatronics
Laboratory equipment
Machine learning
Docker
The MathWorks MATLAB
Signal processing
Communication skills
pandas
NumPy
PyTorch
TensorFlow
Microsoft Windows
Linux
Microsoft Excel
Git
Jira
Atlassian Confluence

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