Perception Engineer

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What we offer:

Group Summary:

DESCRIPTION
Perception Algorithm Engineer is responsible for the research and development of perception algorithms related to autonomous driving, including but not limited to driving and parking scenarios. The role focuses on BEV (Bird’s-Eye-View)–based environment perception, multi-camera fusion, free-space detection, parking-slot recognition, and obstacle perception algorithm design and optimization. The engineer will also participate in the deployment and performance validation of perception models on embedded platforms, ensuring stability, accuracy, and efficiency for mass-production applications.

DUTIES AND RESPONSIBILITIES:
    Programming background, including but not limited to Python, C/C++.
    Understanding of common programming knowledge:
-    Used common IDEs, including but not limited to Pycharm, visual studio, etc
    Design and implement BEV-based perception algorithms for parking and low-speed driving scenarios.
    Develop and optimize deep-learning models for parking slot detection, free-space segmentation, and obstacle recognition.
    Build and maintain perception data pipelines, including data collection, preprocessing, labeling, augmentation, and evaluation.
    Work closely with simulation and validation teams to integrate perception outputs into world-model and planning modules.
    Participate in perception algorithm benchmarking, ablation analysis, and field testing.
    Contribute to technical documentation and support cross-functional communication with software and hardware teams.

REQUIREMENTS AND QUALIFICATIONS:
REQUIRED EXPERIENCE AND SPECIAL SKILLS:
    Solid experience in computer vision and deep learning; familiar with CNN-based perception and BEV transformation pipelines (LSS, BEVDepth, BEVDet, etc.).
    Proficiency in Python/C++, and hands-on experience with PyTorch or TensorFlow.
    Familiar with parking perception datasets and evaluation metrics (IoU, Dice, NDS, etc.).
    Familiar with LLM, VLM, WM and VLA principles; prior project experience in these areas is a plus.
    Understanding of camera calibration, sensor fusion, and 3D geometric transformations.
    Strong sense of responsibility, ownership, and collaboration.

REQUIRED EDUCATION: 
Bachelor’s  or higher degree in computer science, mechatronics, automotive, statistics, mathematics or equivalent.

REQUIRED COMPUTER SKILLS
    Strong Professional experience in C/C++, Python.
    Develop experience with working Linux/Ubuntu.
    Advanced skills in data analysis libraries, tools and methods.

LANGUAGE KNOWLEDGE
    Proficiency in English is better (speaking & writing).

METHODOLOGICAL KNOWLEDGE
    Working knowledge in planned and structured approach.
    Working knowledge of problem-solving techniques.

PERSONAL REQUIREMENTS
    Able to work in a dynamic, fast paced team environment.
    Able to work independently with supervision.
 Able to work effectively in a global environment.

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.