Computer Vision Engineer

We’re looking for a Senior Computer Vision Engineer to build and deploy production-grade computer vision systems. This is a hands‑on engineering role working across deep learning, image and video processing, and real‑time systems, with close collaboration between software and hardware teams.

ONLY GC and USC no sponsorship. Video interviews only and proof of

• Design, implement, and optimize computer vision and machine learning algorithms.
• Build robust, scalable systems for processing large image and video datasets.
• Develop computer vision techniques for video processing, image recognition, and related applications.
• Build and optimize production computer vision pipelines.
• Work closely with hardware engineers to integrate computer vision models and systems.
• Improve performance, reliability, and scalability of deployed computer vision applications.

• 3+ years of experience building production-level computer vision systems.
• Strong background in computer vision, deep learning, and machine learning.
• Strong Python and C++ programming skills.
• Hands‑on experience with PyTorch and/or Tensor Flow.
• Experience with computer vision libraries such as OpenCV.
• Strong problem‑solving and analytical skills.
• Bachelor’s or Master’s degree in Computer Science, Robotics, or a related technical field.

• Ph.D. in Computer Science, Robotics, Computer Vision, or a related field.
• 5+ years of experience building production-grade computer vision systems.
• Experience working with embedded systems, robotics, edge devices, or hardware‑constrained environments.