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What we offer:

Group Summary:

What you can expect

• Design, implement, integrate and test embedded software in C/C++ running on the Next Generation ADAS Compute platform.

• Ensure seamless portability towards different System-on-Chip architectures like arm64, x86 or operating systems like Linux, QNX.

• Perform System/Software integration for ADAS Compute Unit and ADAS Sensors.

• Perform Software integration for ADAS Machine Learning models and ADAS Algorithms.

• Support Vehicle integration and testing. ​

What you'll bring

• 10+ years of software engineering experience, Bachelor's or Master's degree in Computer Science or related field.

• Deep knowledge of Linux and C/C++, like C++11, C++14 or newer.

• Deep knowledge of C++ Design Patterns, like Concurrency Patterns.

• Deep knowledge of Machine Learning models integration and deployment on SoC dedicated HW accelerators.

• Experience designing software solutions based on ROS, like ROS2 Humble.

• Experience designing and implementing real-time software in multi-threading, multi-process context.

• Experience developingCamera image pipeline, ISP configuration, ISP tunning.

• Experience working with cross platform build environment, like CMake.

• Experience integrating and cross compiling 3rd party Software Stacks, like OSS packages.

• Experience with vehicle integration and tests.

• Excellent knowledge of System-on-Chip architectures and complex HPC software architectures.

• Excellent understanding of ADAS Sensors like Cameras, Radars, Ultra Sonic, Lidar.

• Excellent understanding of SoC dedicated HW accelerators like ISP, GPU, NPU.

• Good understanding of GNSS, V2X and MAP/ADASIS systems.

• Good understanding of high speed communication interfaces, like GMSL, FPD-Link, MIPI CSI/DSI.

• Good knowledge of communication buses and protocols, like Ethernet, UART, CAN, USB, I2C, SPI.

Considered as a plus

• Experience with Python, QNX, Adaptive AUTOSAR.

• Experience with Docker containers.

• Familiar with Computer Vision algorithms.

• Familiar with Automotive Safety and Security.

• Familiar with debugging tools and methods, like Lauterbach.

What we offer

• Flexible working hours and remote work

• Health programs, sports and team events

• An extensive training program and exciting internal development opportunities

• Meal allowance

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.