The role involves developing high-performance inference systems using various programming languages and integrating ML runtimes in automotive environments. Requires strong debugging skills and knowledge of ADAS perception.
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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:• Bachelor's/master's degree in computer science, Information Technology• 5+ years building high performance inference systems or embedded ML runtimes.
Technical Knowledge• Strong C++17/20, Python, CUDA programming skills.• Solid understanding of concurrency, memory, and low latency I/O.• Hands-on experience with edge/automotive SoCs (NVIDIA Orin/Xavier, TI TDA4, Qualcomm SA8xxx, NXP S32, Renesas R-Car).• Experience integrating inference with ROS2, or sensor frameworks.• Experience integrating ML runtimes into SIL/HIL environments and automated test pipelines (Jenkins/GitLab CI).• Deep understanding of ADAS perception and real-time constraints.• Understanding of camera, radar, LiDAR data flows and synchronization in ADAS stacks.• Strong debugging and profiling skills.
Nice to Have• ADAS simulation (CARLA, Carmaker)• CI/CD experience (Jenkins, GitHub Actions)
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:• Bachelor's/master's degree in computer science, Information Technology• 5+ years building high performance inference systems or embedded ML runtimes.
Technical Knowledge• Strong C++17/20, Python, CUDA programming skills.• Solid understanding of concurrency, memory, and low latency I/O.• Hands-on experience with edge/automotive SoCs (NVIDIA Orin/Xavier, TI TDA4, Qualcomm SA8xxx, NXP S32, Renesas R-Car).• Experience integrating inference with ROS2, or sensor frameworks.• Experience integrating ML runtimes into SIL/HIL environments and automated test pipelines (Jenkins/GitLab CI).• Deep understanding of ADAS perception and real-time constraints.• Understanding of camera, radar, LiDAR data flows and synchronization in ADAS stacks.• Strong debugging and profiling skills.
Nice to Have• ADAS simulation (CARLA, Carmaker)• CI/CD experience (Jenkins, GitHub Actions)
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
C++17
C++20
Cuda
Gitlab Ci
Jenkins
Python
Ros2
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