- Location
- Piata Consiliul Europei 2C, 300627, Timisoara, RO, Romania
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Source
- Workday
Description
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What we offer:
Group Summary:
Job Responsibilities:
What you can expect
You will contribute to the development, integration and validation of advanced ADAS electronic control units and high-performance automotive computing platforms.
- Define and improve system and software test strategies for highly complex ADAS ECUs
- Support testing activities across relevant Automotive SPICE levels, including software integration, software qualification, system integration, system qualification and validation
- Design, develop and review automated test solutions using CANoe, CAPL, Python and embedded C
- Lead the analysis and resolution of complex issues involving hardware, software, operating systems, communication networks and sensor interfaces
- Define and support test environments, HIL systems, network simulations, diagnostic solutions and automated regression testing
- Support integration and validation of cameras, radars, ultrasonic sensors and high-speed automotive communication interfaces
- Develop and improve Continuous Integration and Continuous Testing solutions
- Review test specifications, test implementations, test results and technical evidence
- Provide technical guidance, mentoring and hands-on support to test and integration teams
- Collaborate with System, Software, Hardware, Functional Safety, Cybersecurity, Quality and Project Management teams
- Drive technical standardization, reuse, automation and continuous improvement across test activities.
What you'll bring
- University degree in Computer Science, Electronics, Telecommunications, Automation, Automotive Engineering or a comparable technical field
- Several years of relevant experience in automotive system testing, software testing, integration or embedded systems
- Expert-level knowledge of CANoe and CAPL scripting
- Advanced knowledge of automotive communication technologies such as CAN, CAN FD, FlexRay and Automotive Ethernet
- Advanced knowledge of Ethernet networking and automotive protocols such as SOME/IP, DoIP, TCP/IP and UDP
- Advanced Python and embedded C programming skills
- Medium-to-advanced Linux knowledge
- Strong automotive hardware knowledge and practical debugging capabilities
- Knowledge of high-speed and embedded interfaces such as FPD-Link, GMSL, MIPI, SPI, UART and I2C
- Experience with HIL testing, preferably using dSPACE, Xylon or comparable systems
- Experience with Lauterbach TRACE32 for embedded software debugging, integration and qualification testing
- Advanced Git and GitHub knowledge
- Experience with CI/CD and Continuous Testing environments
- Knowledge of automotive diagnostics, flashing, bootloaders and measurement protocols
- Understanding of Functional Safety, SOTIF and Automotive Cybersecurity concepts
- Experience with automotive SoCs and microcontrollers such as NVIDIA DRIVE, Infineon AURIX, Mobileye EyeQ, Texas Instruments TDA or Sitara, Qualcomm Snapdragon Ride or comparable platforms
- Experience with system performance, robustness, fault injection and recovery testing
- Practical knowledge of AI-assisted engineering tools such as GitHub Copilot and responsible AI usage in software and test development
- Strong analytical, troubleshooting and root-cause analysis capabilities
- Ability to understand complex system architectures and quickly become productive on new technologies
What we offer
- We offer an annual gross salary starting from 140,000 RON, complemented by our benefits package
- Flexible working hours and hybrid work
- Health and wellbeing programs
- Meal allowance of 35 RON per day, offered through meal tickets
- Team events and company initiatives
- Extensive training and exciting internal development opportunities
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.
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