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

请求职者投递中文及英文简历

You will build and lead the China FDE organization: hiring and developing engineers, setting priorities across accounts, defining delivery standards, and serving as the main technical partner to business leadership, customers and global engineering teams.

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
• 3+ years leading engineering or field/solutions teams; proven ability to hire, mentor and manage customer engagements across multiple accounts

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
• Experience building a field engineering or FDE team from scratch; established network in China's robotics/Physical AI ecosystem