Principal Perception Engineer

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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:

KEY RESPONSIBILITIES

• Responsible for deploying and optimizing perception models for autonomous driving on embedded platforms, ensuring real-time performance and accuracy, and achieving high-performance edge inference.负责自动驾驶相关感知模型在嵌入式平台的部署和优化，保证模型的实时性和精度，实现端侧高性能推理;

• Participate in the full pipeline of model optimization, including model conversion, quantization, pruning, and knowledge distillation, to improve inference efficiency and deployment performance.参与模型转换、量化、剪枝、蒸馏全流程，提升模型的推理效率和部署性能;

• nalyze the performance characteristics of on-device resources (CPU / NPU / DSP / GPU), and provide systematic optimization suggestions for models, post-processing, and sensor fusion modules. 分析端侧资源(CPU/NPU/DSP/GPU)的性能特性，为模型/后处理/融合模块的优化提供系统性建议;

QUALIFICATIONS

• Bachelor’s degree or above in Computer Science, Automation, Electronic Engineering, or related fields.计算机、自动化、电子工程等相关专业本科及以上学历;

• Familiar with mainstream perception models and able to understand their computational graphs and operator characteristics.熟悉主流的感知模型，理解其计算图结构和算子特性;

• Hands-on experience with quantization (QAT / PTQ), model pruning, and knowledge distillation.具有QAT/PTQ 量化、模型剪枝、蒸馏的相关经验;

• Proficient in Python and C++, with solid programming skills.熟练掌握Python/C++编程，具备扎实的代码能力;

• Practical deployment experience on automotive platforms such as Horizon Robotics, Axera, NVIDIA, etc.具有地平线、爱芯、Nvidia等车载平台的实际部署经验;

• Experience in mass production projects is preferred.有量产项目经历者优先。

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.

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