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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.
Mission
Job Responsibilities:
- Simulation Algorithm Engineer will be at the core of developing and implementing complex "World Models." The work will involve cutting-edge 3D reconstruction and image/video generation technologies, combining generative AI and multimodal large model knowledge to build the next-generation automotive/embodied simulation environments capable of learning, predicting, and understanding complex dynamic systems, and achieving engineering implementation. 仿真算法工程师将处于开发和实现复杂"世界模型"(World Model)的核心位置。工作将涉及前沿的3D重建与图片/视频生成技术,结合生成式AI与多模态大模型知识,构建能够学习、预测并理解复杂动态系统的下一代汽车/具身仿真环境,实现工程化落地。
Position Responsibility
- Construct and optimize multimodal data pipelines in the automotive field to support model training. 针对汽车领域多模态数据pipeline的构建与优化,为模型训练提供助力。
- Develop core algorithms for world models, exploring and implementing dynamic environment models based on multi-view images, videos, and multimodal data. 世界模型核心算法的研发,探索并实现基于多视角图片、视频、多模态数据的环境动态模型。
- Stay updated with the latest technologies in 3D generation and reconstruction, applying them to build high-fidelity, highly realistic virtual worlds. 跟进3D生成、重建领域的最新技术,并将其应用于高保真度、高真实感的虚拟世界构建。
- Collaborate closely with hardware engineers and AI engineers to integrate world models with intelligent decision-making systems and robotic control systems. 与硬件工程师和AI工程师紧密合作,将世界模型与智能体决策、机器人控制等系统进行集成。
- Perform algorithm tuning and implementation based on model conditions, optimizing and applying models on the edge. 根据模型情况进行算法调优与落地,对端侧模型进行优化和应用。
- Optimize the performance of simulation and model training processes to ensure scalability and efficiency. 优化仿真及模型训练流程的性能,确保其可扩展性和效率。
Position Requirements
Required Qualifications:
- Hold a Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Robotics, or a related field. 拥有计算机科学、人工智能、机器人学或相关领域的硕士或博士学位。
- Have at least 4 years of practical experience in model development, training, and deployment. 具备至少4年的模型开发、训练及部署的实践经验。
- Possess strong skills in reading English academic papers and technical writing, and be enthusiastic about keeping up with cutting-edge advancements and rapid prototyping. 具备较强的英文论文阅读与技术写作能力,乐于跟进前沿并快速原型验证。
Technical Skills Requirements
- Solid programming skills, proficient in Python, and experienced in C++ engineering practices; strong foundation in data structures and algorithms, capable of implementing algorithms in engineering environments. 扎实的编程能力,熟悉 Python,并具备 C++工程实践经验;具备良好的数据结构与算法基础,能将算法落地到工程环境。
- Knowledgeable in multimodal data processing and modeling, experienced in preprocessing, annotating, and training workflows for image/video data, able to organize and reproduce end-to-end experiments. 了解多模态数据处理与建模,对图像/视频等数据的预处理、标注与训练流程有经验,能进行端到端实验组织与复现。
- Understanding of the basic concepts of generative models and large models, familiar with paradigms such as Diffusion/Transformer, capable of algorithm tuning and performance validation based on task requirements. 理解生成式模型与大模型的基本概念,熟悉 Diffusion/Transformer 等范式,能够依据任务需求进行算法调优与效果验证。
- Preferably with practical experience or open-source contributions in 3D/4D reconstruction in both industry and academia. 有3D、4D重建在工业界与学术界实践落地或开源成果者更佳。
- Priority given to candidates with publications in top-tier AI conferences or journals. 在顶级人工智能会议或期刊上有论文发表者优先。
- Familiarity with autonomous driving/robot perception and spatiotemporal modeling issues, with relevant coursework/projects/internship experience being a plus. 了解自动驾驶/机器人感知与时空建模问题,有相关课程/项目/实习经历更佳。
- Preferably with experience in training or applying image/video generation models (e.g., diffusion models). 有图像/视频生成模型(如扩散模型)训练或应用经历者更佳。
- Preferably with research or project experience related to 3D generation/reconstruction, familiar with methods such as Neural Radiance Fields (NeRF) or Gaussian splatting (3D). 具备与3D生成/重建相关的研究或项目经历,熟悉神经辐射场(NeRF)或高斯溅射(3D)等方法者更佳;
- Familiarity with common simulation platforms or physics engines (e.g., CARLA, Isaac Sim, MuJoCo, Unity, Unreal), with usage experience being a plus. 了解常见仿真平台或物理引擎(如 CARLA、Isaac Sim、MuJoCo、Unity、Unreal),有使用经验更佳。
- Understanding of distributed training, performance optimization, or server/cluster setup and maintenance; HPC/AI Infra-related experience is a plus (having any one of these is sufficient). 了解分布式训练、性能优化或服务器/集群搭建维护;有 HPC/AI Infra 相关经验更佳(具备其一即可)。
- Knowledge of large model quantization, pruning, inference optimization, and deployment techniques, with related interest or practical experience being a plus. 了解大模型量化、剪枝、推理优化与部署等技术方向,有相关兴趣或实践更佳。
- Solid mathematical foundation, capable of applying probability theory, linear algebra, and optimization methods to solve real-world problems in projects. 具备扎实的数学基础,能够在项目中运用概率论、线性代数与最优化方法解决实际问题。
- Good collaboration and communication skills, able to work with hardware/AI engineering teams to achieve system integration and implementation. 具备良好的协作与沟通能力,可与硬件/AI工程团队协同完成系统集成与落地。
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.
Worker Type
Regular / Permanent
Group
Magna Electronics