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Senior/Staff Robotics AI Engineer – Embedded Platform

  • Source: LinkedIn
  • Renesas Electronics
  • Remote
  • Ho Chi Minh City
  • Full-Time
  • Senior

Job Description

Job Description

Job Summary:

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 .’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power.

With a diverse team of over 21,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘ To Make Our Lives Easier .’

At Renesas, you can:

  • Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things.

  • Make a real impact by developing innovative products and solutions to meet our global customers’ evolving needs and help make people’s lives easier, safe and secure.

  • Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day.

Are you ready to own your success and make your mark?

Join Renesas. Let’s Shape the Future together.

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.

Skills

  • cortex
  • cplusplus
  • Python
  • opencv
  • Tensorflow
  • PyTorch
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