Senior/Staff Embedded Application Engineer – AI Robotic
Renesas Electronics - Ho Chi Minh, , Vietnam
Posted Jun 10, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified checked Jun 7, 2026
- Salary
- Not verified
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior/Staff Embedded Application Engineer – AI Robotic Ho Chi Minh, , Vietnam Company 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
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