Magna International
Software Development Engineer - Video Pipeline Integration (SoCs)
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What we offer:Job Responsibilities:
What you can expect
Join a dynamic team developing cutting-edge Advanced Driver Assistance Systems (ADAS). In this role, you’ll work hands-on with video bring-up and integration on various SoCs, playing a key part in implementing and optimizing camera pipelines and video processing features.
- Bringing up and configuring camera systems for real-time video acquisition on various SoCs (e.g. Texas Instruments, Nvidia, Qualcomm)
- Developing and integrating video features on POSIX-based platforms, focused on SoCs
- Defining and implementing key OS-level concepts like scheduling, IPC, and memory management
- Developing and debugging device drivers for interfaces such as I2C, Ethernet, etc used in camera and SoC integration
- Enabling, adapting, and optimizing ISP pipelines, including video bring-up, tuning, calibration, and performance optimization across various high-end SoCs (e.g., TI, NVIDIA, Qualcomm), ensuring high image quality and efficient processing
- Hands-on expertise with graphics and display frameworks such as OpenGL, ES and EGL for video rendering and display pipelines
- Proficient in Vulkan Stack APIs and CUDA for high-performance GPU acceleration, enabling efficient low-level graphics and computing workloads across vision pipelines
- Experience working with ADAS vision frameworks such as OpenVX (including TI TIOVX / Vision SDK) is a plus
- Experience in integrating DNN models into ADAS pipelines, including optimization, acceleration (e.g., CUDA-based), and deployment on embedded platforms is a plus
- Good understanding of GPU architecture, rendering pipelines, memory management, and performance optimization techniques
- Strong debugging skills with experience in analyzing and resolving vision pipeline issues such as frame drops, black screen / display issues, or pipeline latency and synchronization problems
What you'll bring
- Good experience in Linux/POSIX system programming
- Proficiency in C/C++
- Proficiency in Open GL, ES and EGL
- Experience with safety-certified software development platforms (e.g., QNX, SafeRTOS, or integrity-based Linux variants)
- Experience with various SoC’s (e.g. Nvidia, Texas Instruments, Qualcomm)
- Hands-on experience with video acquisition, camera interfacing (e.g. GMSL, FPD-Link, etc), and/or ISP tuning on various SoCs
- Familiarity with video post-processing and ISP configuration
- Experience in board bring-up and developing custom drivers for camera and connectivity interfaces (CSI/UART/I2C/Ethernet)
- Understanding of OS fundamentals, SoC architectures and HW schematics
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
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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