Job Description

Joining our company means integrating a group focused on innovation, quality, and performance. We place technical excellence and people at the heart of our strategy to meet tomorrow’s challenges. Our ambition: to design robust, sustainable technological solutions tailored to our clients’ needs. We value diversity, inclusion, and equal opportunity. All applications are welcome, with no distinction regarding gender, age, origin, religion, or disability status.

Engineering – AI and Data Analysis

Mission Description

Vehicle validation is a critical phase in the vehicle development process. To achieve this, we collect highly precise data from fleet driving sessions. Currently, data acquisition methods vary between regions. The Instrumentation Engineer NA will be responsible for mirroring the structure and processes already in place in Europe. This project represents a significant challenge, as the company’s ability to launch new vehicle projects to market depends on its success.

The team’s mission will include:

• Develop and implement new data logging equipment for North and South America
• Designing and executing test plans and scenarios tailored to vehicle project requirements.
• Managing validation schedules and leading the progress of test campaigns.
• Performing functional and performance tests within the defined scope.
• Analyzing performance deviations from specifications.
• Identifying anomalies and malfunctions detected during tests.
• Automating and standardizing test procedures to enhance efficiency.
• Drafting test reports, summaries, and analysis documents.
• Collaborating with project teams to ensure the quality and compliance of deliverables.

Qualifications

Basic Qualifications:

• BA/BS in Computer Science, Engineering, Mathematics, or a related technical discipline
• A minimum of 5 years working experience
• Strong knowledge of CAN, FD_CAN and ethernet protocols.
• Electrical wiring and data logger interphase harness design.
• Testing methodologies: Strong knowledge of electrical and electronic architectures.
• Testing and data collection tools: Experience in programming and querying vehicle networks and ECUs.
• Automated testing: Ability to develop and implement configurations tailored to the vehicles under test.
• Test execution and performance metrics: Proficiency in executing tests and calculating performance metrics, with programming skills in PWI, Python, C++, or similar languages preferred.