Additionalinformation

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.

Companydescription

Company Description

Jobdescription

Job Description

请求职者投递中文与英文简历

As a Forward Deployed Engineer (FDE) for Physical AI and Robotics in China, you will work on site with robotics companies, research labs and automotive OEMs. You will use Renesas's agent-based AI platform to deploy, optimize and validate their AI models on Renesas SoCs. You will integrate these models with ROS 2, robotics SDKs and simulation tools, lead proofs of concept through to measured results, and turn field feedback into product requirements.

Qualifications

Required Skills

• 5+ years in embedded AI or robotics/ADAS software deployment
• Hands-on model compilation, quantization and optimization (e.g., MLIR, TVM, TensorRT)
• Practical experience with agentic AI and LLM-based development tools
• Strong Linux, Python and C++ skills; ROS 2 experience
• Customer-facing technical experience; able to work on site with customers

Preferred Skills

• Experience with LLM, VLM or VLA models on edge devices
• Simulation tools (Isaac Sim / Omniverse), HIL validation
• Porting from CUDA/NVIDIA to other AI accelerators
• Background in automotive SoCs or functional safety
• Involvement in open-source, developer-community or university collaborations