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What we offer:

Group Summary:

Job Title

Senior System Test Engineer – Test Management, Vehicle, HIL & Execution Strategy

Description

The Senior System Test Engineer is responsible for defining, developing, and executing the overall system test strategy for advanced ADAS/automotive electronic systems. This includes test management, HIL test infrastructure development, and execution planning on test benches & vehicles to ensure world-class product quality and compliance with industry standards.

Responsibilities /
Main Activities

Test Management & Strategy

• Define and standardize global system test processes, reporting methods, and strategies aligned with ASPICE, ISO/IEC standards, and ADAS product roadmaps.
• Develop comprehensive system test plans, test coverage strategies, and execution roadmaps for product life cycles on Bench & Vehicle.
• Review stakeholder requirements, develop detailed test cases, and ensure proper test coverage.
• Identify and define use cases for vehicle-level ADAS testing, create test scenarios, and execute tests on the vehicle
• Participate in quoting and planning activities for new business, providing cost-effective and scalable test solutions.
• Ensure compliance with internal quality procedures and external standards (e.g., ASPICE, ISO 26262, ISO/IEC TR 15504).

HIL & Test Infrastructure Development

• Design, develop, and deploy Hardware-in-the-Loop (HIL) and related test benches using Matlab/Simulink, dSPACE, NI Veristand, ETAS Labcar, IPG Carmaker, and Vector CANoe.
• Create and maintain Rest Bus Simulations, plant models, loss models, and closed-loop control algorithms for realistic system-level testing.
• Define the roadmap for future test setups, including equipment upgrades, RCP systems, and infrastructure automation.
• Provide documentation, user manuals, and training to cross-functional teams for efficient bench utilization.

Bench/Vehicle Execution Planning & Automation

• Develop test automation scripts and libraries using Python, CAPL, and dSPACE AutomationDesk.
• Define execution schedules, prioritize test sequences, and implement automated test pipelines.
• Perform bench and vehicle level testing, execute regression campaigns, and support debugging and defect tracking activities.
• Lead planning, scheduling, monitoring, and reporting of all system test activities across multiple ADAS programs.

Analysis & Reporting

• Analyze test results, debug issues, identify root causes, and prepare comprehensive test reports/dashboards.
• Present test status, KPIs, and defect trends to development teams and management.
• Ensure traceability between requirements, test cases, execution, and results.

Collaboration & Leadership

• Act as a technical lead for system test strategy, setup, and execution.
• Mentor and guide system test engineers on test case design, reporting, and analysis.
• Interface with software, hardware, and integration teams to align test coverage with program goals.
• Represent system test activities in customer meetings and technical reviews.

Reporting Lines

Disciplinary: 

• Team Lead

Functional:

• Engineering Manager

Employee Responsibility

 yes

 no

Requirements

6-10 years experience
 

Required Training /Education:

Bachelor’s or Master’s degree in Engineering (Electrical, Computer, Mechatronics, or related); Master’s preferred.

Required Experience:

• 6–10 years of experience in automotive electronic systems, ADAS testing, or ECU/system validation.
• Proven experience in HIL development, system test execution, and test automation.
• Strong knowledge of Matlab/Simulink, dSPACE, IPG Carmaker, Vector CANoe.
• Proficiency in Python, CAPL, and test orchestration tools.
• Hands-on knowledge of CAN, LIN, and Ethernet communication protocols.

Specialist Knowledge

advanced skills
 

Nice-to-Haves

• ISTQB certification or equivalent.
• Experience with ECU test, or ADAS product testing.
• Familiarity with ISO/IEC standards, ASPICE, and ISO 26262.
• Knowledge of lab tools (DMM, Oscilloscope, Video Scope) and configuration management systems.
• Experience with project tracking and reporting tools (e.g., MS Project, ALM/PLM).
• Knowledge of Jenkins & CI/CD for test orchestration.

Methodological Knowledge
no knowledge
basic
advanced skills
comprehensive knowledge
expert knowledge

• Working knowledge in planned and structured approach
• Working knowledge of problem solving techniques
• Troubleshooting and debugging skills
• Knowledge of structured problem solving (8D) methods and/or techniques
• Working knowledge of configuration management, and project monitoring and control techniques (preferably PTC/MKS)

Computer Skills
no knowledge
basic knowledge
advanced knowledge
comprehensive knowledge
expert knowledge

• Matlab/Simulink, dSPACE, Labview, model based development tools, CAPL, Pyhthon programming
• Working knowledge of CAN and LIN based tools such as CANalyzer, CANoe, CANape, and other automotive networks and related tools
• Advanced knowledge of MS Office package
• Microsoft project planning (desired)

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, 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.

AI-Assisted Screening Disclosure

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.

Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

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