发布于 2026-09-23
英文原文
专注于AI机器人领域的资深应用工程师
Senior/Staff Embedded Robotics AI Engineer – Embedded Platform
ルネサス エレクトロニクス
| 职种 | 工程 | 雇用形态 | — |
|---|---|---|---|
| 工作地点 | Ho Chi Minh, vn | 薪资 | 面议 |
职位概要
该职位为AI机器人领域的资深应用工程师,负责推动机器人应用中先进嵌入式解决方案的开发、集成与部署。主要工作包括:在RCar和RZ SoC的Arm Cortex-A/R/M异构架构上开发软件栈;基于R-Car和RZ SoC设计并开发AI机器人应用;在NPU/DSP/GPU等硬件加速器上开发与集成AI/ML模型;使用ROS2和Linux实现机器人实时控制算法与中间件。应聘要求:具备Linux和ROS2上的应用及中间件编程能力;精通C、C++、Python;深入理解核心机器人算法;具备机器人计算机视觉经验(图像处理、目标检测、跟踪、感知流水线);熟悉OpenCV、TensorFlow、PyTorch等库/框架;了解强化学习在机器人中的应用;有Gazebo、Isaac Sim等仿真工具经验者优先;有微控制器和底层硬件控制实操经验者优先;了解机器人机械系统与传感器。软技能要求:较强的问题解决能力、独立工作与团队协作能力、学习新技术的意愿。Renesas为员工提供具有竞争力的薪酬与福利,具体信息将在招聘流程中提供。
职位描述
Job Description As an Experienced Application Engineer specializing in AI Robotic domain, you will drive the development, integration, and deployment of advanced embedded solutions for robotic applications. You will work with high-performance SoC platforms, combining expertise in hardware-software co-design, real-time systems, and AI/computer vision integration. Key Responsibilities: Develop software stack across heterogeneous architectures including Arm Cortex-A, Cortex-R, and Cortex-M cores on RCar and RZ SoCs. Design and develop AI‑based robotic applications on R‑Car and RZ SoCs Develop and integrate AI/ML models on hardware accelerators (NPU/DSP/GPU). Implement real-time control algorithms and middleware for robotic applications using ROS2, Linux Qualifications Ability to program applications, middleware on Linux, ROS2 Proficiency in programming languages such as C, C++, Python Strong understanding of core robotics algorithms Experience in computer vision for robotics: Image processing, object detection, tracking, and perception pipelines Familiarity with libraries/frameworks such as OpenCV, TensorFlow, PyTorch, or similar Knowledge or experience in Reinforcement Learning (RL) applied to robotics Experience with robotics simulation tools is a strong advantage: Gazebo, Isaac Sim Ability to validate algorithms in simulation before deployment on real robots Preference will be given to candidates with hands-on experience with microcontrollers and low-level hardware control Understanding of mechanical systems in robotics, Sensors Professional: Strong problem-solving skills, ability to work independently and in a team, and willingness to learn new technologies. Additional Information Renesas is an embedded semiconductor solution provider driven by its Purpose, To Make Our Lives Easier . With a global team of over 21,000 engineers and problem solvers in more than 30 countries, we offer the opportunity to work on world‑leading technology for Automotive, Industrial, Infrastructure, and IoT, shaping a safer, healthier, greener, and smarter future. At Renesas, TAGIE is our culture, grounded in being Transparent, Agile, Global, Innovative, and Entrepreneurial. It shapes how we work, grow and deliver on our purpose together. This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives. We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process. Are you ready to join our team and shape the future with us? Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement .