Posted 1 mo agoFirst seen 28 d ago
Senior/Staff Embedded Robotics AI Engineer – Embedded Platform
Posted by Renesas on 23 September 2026, 40 days ago. Still on their SmartRecruiters board when we checked 58 min ago. Half of Renesas's roles come down within 20 days.
What the posting is about
Develop and integrate AI-based robotic applications on Renesas SoCs. Work with heterogeneous architectures and hardware accelerators. Implement real-time control algorithms using ROS2 and Linux. Collaborate with a global team to shape a safer, healthier, greener, and smarter future.
Read out of the posting
Levelmid
Experience asked5+ years
EmploymentFull time
LocationHo Chi Minh, Vietnam
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-09-23
Found viasmartrecruiters, direct from their system
We saw it 12 days after it went up.
The posting, as the company wrote it
Employment: Full-time
Experience level: Mid-Senior Level
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 .
Also open at Renesas
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