Position Details
About this role
This role involves developing and optimizing computer vision software for agricultural machinery, focusing on real-time image processing and AI deployment on embedded systems.
Key Responsibilities
- Develop computer vision algorithms
- Optimize software for embedded platforms
- Test and verify AI systems in field conditions
- Collaborate with hardware teams
- Maintain and improve image sensing systems
Technical Overview
The technical environment includes C++, Python, OpenCV, TensorFlow, PyTorch, embedded Linux, NVIDIA Jetson platform, and Yocto for custom Linux image building.
Ideal Candidate
The ideal candidate is a mid-level computer vision engineer with 3+ years of experience in developing algorithms and optimizing software for embedded Linux devices, particularly in agriculture technology environments. They possess strong programming skills in C++ and Python, with hands-on experience in computer vision and machine learning.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Clearance & Visa
Keywords for Your Resume
Deal Breakers
Lack of experience with embedded Linux or NVIDIA Jetson, No proficiency in C++ or Python, Inability to work independently, Not authorized to work in the U.S.
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