Develop and integrate virtual ECU components for ADAS functions, utilizing various simulation tools and ensuring robust integration with automotive standards and frameworks.
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What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That's what we're passionate about at Magna Electronics, and we do it by creating world-class Electronic systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex Electronic systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Electronics.
Job Responsibilities:
Develop and integrate vECU components (middleware, interfaces, communication stacks) for L3 ADAS
functions.• Model, simulate, and validate ECU behavior in SIL/MIL environments (dSPACE, ETAS, NI, Vector).• Integrate ADAS feature code with AUTOSAR Classic/Adaptive, ROS2, DDS, and real-time frameworks.• Create and maintain build pipelines for vECUs (CMake/Bazel/Yocto).• Enable virtual testing using scenario-based simulation (CarMaker, PreScan, CARLA).• Debug timing, communication, and integration issues in virtual platforms.• Collaborate with perception, planning, controls, and HIL teams
Education/Experience• \tBachelor's or master's degree in computer science, Data/Software Engineering, or related field.• \t6+ years in embedded systems, ECU software, or simulation/SIL tooling.
Technical Knowledge• \tStrong C++ experience in automotive embedded development.• \tHands-on with vECU development, virtual platforms, or software simulation.• \tFamiliarity with ROS/ROS2, DDS, and sensor emulation frameworks.• \tKnowledge of AUTOSAR, SOME/IP, CAN/LIN, Ethernet, and ADAS software architecture.• \tExperience with SIL/MIL workflows and simulation tools.• \tFamiliar with continuous integration, versioning, and containerized builds.
Nice to Have• \tExperience with L2+/L3 ADAS stacks (perception, fusion, planning).• \tExperience with virtualization frameworks.• \tKnowledge of ISO 26262, ASPICE, and automotive safety concepts.• \tExposure to cloud-based simulation farms.
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.
Worker Type:
Regular / Permanent
Group:
Magna Electronics
What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That's what we're passionate about at Magna Electronics, and we do it by creating world-class Electronic systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex Electronic systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Electronics.
Job Responsibilities:
Develop and integrate vECU components (middleware, interfaces, communication stacks) for L3 ADAS
functions.• Model, simulate, and validate ECU behavior in SIL/MIL environments (dSPACE, ETAS, NI, Vector).• Integrate ADAS feature code with AUTOSAR Classic/Adaptive, ROS2, DDS, and real-time frameworks.• Create and maintain build pipelines for vECUs (CMake/Bazel/Yocto).• Enable virtual testing using scenario-based simulation (CarMaker, PreScan, CARLA).• Debug timing, communication, and integration issues in virtual platforms.• Collaborate with perception, planning, controls, and HIL teams
Education/Experience• \tBachelor's or master's degree in computer science, Data/Software Engineering, or related field.• \t6+ years in embedded systems, ECU software, or simulation/SIL tooling.
Technical Knowledge• \tStrong C++ experience in automotive embedded development.• \tHands-on with vECU development, virtual platforms, or software simulation.• \tFamiliarity with ROS/ROS2, DDS, and sensor emulation frameworks.• \tKnowledge of AUTOSAR, SOME/IP, CAN/LIN, Ethernet, and ADAS software architecture.• \tExperience with SIL/MIL workflows and simulation tools.• \tFamiliar with continuous integration, versioning, and containerized builds.
Nice to Have• \tExperience with L2+/L3 ADAS stacks (perception, fusion, planning).• \tExperience with virtualization frameworks.• \tKnowledge of ISO 26262, ASPICE, and automotive safety concepts.• \tExposure to cloud-based simulation farms.
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.
Worker Type:
Regular / Permanent
Group:
Magna Electronics
Top Skills
Autosar
Bazel
C++
Carla
Carmaker
Cmake
Dds
Dspace
Etas
Ni
Prescan
Ros2
Vector
Yocto
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