Senior Perception Engineer

Posted 11 Hours Ago
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Changning, Shanghai, CHN
Hybrid
Senior level
Automotive • Hardware • Robotics • Software • Transportation • Manufacturing
Dream big. With Us. Let's create the future of mobility, together.
The Role
Develop and iteratively optimize bird's-eye-view (BEV) parking perception models for occupancy, dynamic/static object detection, and parking-space detection. Collaborate with data and deployment teams to define data needs, ensure data quality, optimize model runtime on target platforms, and participate in technical discussions and knowledge sharing.
Summary Generated by Built In

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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:

MISSION 目标
Parking BEV Perception Model Development Engineer, responsible for iteratively optimizing BEV perception models, who can closely collaborate with upstream and downstream teams to continuously improve the model's performance on the vehicle. 泊车BEV感知模型开发工程师,负责BEV感知模型的迭代优化,能够与上下游团队紧密协作,持续提升模型在车端的表现。

POSITION RESPONSIBILITY 岗位职责

  • Design and iteratively optimize the parking perception BEV model to effectively estimate the vehicle's surrounding environment in parking scenarios, including occupancy prediction (OCC), dynamic and static object detection (OD), and parking space detection (PSD). 负责泊车感知BEV模型的方案设计和优化迭代,实现泊车场景下对车体周围环境的有效估计,包括占用预测OCC,动静态目标检测OD和库位检测PSD;
  • Work closely with the data team to propose data collection and mining requirements, ensure the quality of delivered data, and assist the data team in continuously improving the production and delivery efficiency of the data pipeline. 与数据团队紧密协作,提出数据采集、数据挖掘需求,把控交付数据质量,协助数据团队持续提升数据链路的生产和交付效率;
  • Collaborate with the deployment team to optimize model runtime on specific deployment platforms without compromising perception performance, meeting system timing requirements. 配合部署团队,针对具体部署平台,在保证感知效果的前提下对模型进行耗时优化,满足系统对感知的耗时要求;
  • Keep up with cutting-edge technologies and actively participate in team discussions and technical sharing sessions. 跟踪前沿技术,积极参与团队的日常探讨和技术分享。

POSITION REQUIREMENTS 岗位要求

  • Diploma: 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。
  • Working Experience: Experience in BEV perception algorithm development with a solid foundation in deep learning and computer vision, at least 2 years of BEV model development experience. 有BEV感知算法开发经验,至少两年以上的BEV模型开发经验,有良好的深度学习和计算机视觉基础。
  • Language: Good English reading and writing skills. 良好的英文读写能力。
  • Strong algorithmic skills, familiar with Python/C, and proficient in at least one training framework. . 有扎实的算法基础,熟悉Python/C++,熟练使用至少一种训练框架。
  • Experience in mass production projects is a plus. 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.

Worker Type:

Regular / Permanent

Group:

Magna Electronics

Skills Required

  • Bachelor's degree or above in Computer Science, Automation, Electronic Engineering, or related field.
  • At least 2 years of BEV model development experience.
  • Solid foundation in deep learning and computer vision.
  • Familiarity with Python and C++.
  • Proficiency with at least one training framework (e.g., PyTorch or TensorFlow).
  • Good English reading and writing skills.
  • Experience in mass production projects.

What the Team is Saying

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Magna International Compensation & Benefits Highlights

  • Healthcare Strength Medical plan choice includes Enhanced PPO, Standard PPO, and an Advantage HDHP with free preventive care and $0 Teladoc, with in‑network deductibles as low as $200 and out‑of‑pocket maximums starting at $2,000. Company‑paid short‑term and long‑term disability plus basic life/AD&D, along with enhanced dental/vision options in 2026, reinforce comprehensive coverage.
  • Retirement Support The 401(k) design features automatic enrollment, a 3% nonelective company contribution after six months, and a 50% match on the first 6% employees contribute. Plan documents and recent filings corroborate this structure, and some divisions also highlight profit‑sharing as part of total rewards.
  • Parental & Family Support U.S. materials outline paid parental leave for non‑union employees (up to five consecutive weeks at 66 2/3% pay) that coordinates with STD/FMLA and allows PTO top‑ups. Mental health resources and an Employee & Family Assistance Program add family‑oriented support across plans.

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The Company
HQ: Aurora, Ontario
171,000 Employees
Year Founded: 1957

What We Do

We are a mobility company that innovates like a start-up and thinks like a technology company. This helps us anticipate change in one of the most complex industries in the world and respond quickly. We depend on a team of 171,000 dynamic, entrepreneurial-minded employees in an environment where great ideas flourish. Our presence spans 343 manufacturing operations and 88 product development, engineering and sales centers in 29 countries. We understand that you need a career as unique as you are. Whether you want to advance your existing expertise or try something completely different, we are committed to your growth.

Why Work With Us

At Magna, our engineering team is advancing mobility for everyone and everything. Joining this team means being a part of the design, development, and manufacturing of the world’s most advanced mobility technology. Innovations that move families, shape communities, and improve lives. You can follow your passions and shape your own career path.

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About our Teams

Magna International Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Majority of roles are hybrid with flexibility. Please speak with our recruiting team for specific details on hybrid work.

Typical time on-site: Not Specified
HQGlobal Headquarters - Aurora, Ontario, Canada
Bangalore, Karnataka, India
Graz, Austria
Lowell, Massachusetts
Monterrey, Mexico
Munich, Germany
Pune, Maharashtra, India
Sailauf, Germany
Saltillo, Mexico
US Headquarters - Troy, Michigan
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