Remote Computer Vision Architect for Embedded Systems

BaseBiz

United States

Remote

USD 140,000 - 190,000

Full time

3 days ago
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Job summary

BaseBiz is seeking a highly skilled Computer Vision Architect to work remotely in the United States. The role emphasizes performance-aware design, embedded platforms, and collaboration with cross-functional teams to integrate vision solutions.

You will develop algorithms for image and video processing, feature extraction, and object recognition, optimize performance, and stay current with CV advancements to drive system improvements. Strong math background and communication skills are essential.

Qualifications

  • Strong knowledge of embedded platforms/systems and their applications in computer vision.
  • Experience with linear algebra and basic math data structures & algorithms is required.
  • Good understanding of computer vision fundamentals, including image and video processing, feature extraction, and object recognition.
  • Ability to work independently and collaboratively as part of a team.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and interpersonal skills.

Responsibilities

  • Design and develop computer vision systems that meet performance and quality requirements.
  • Collaborate with cross-functional teams to integrate computer vision solutions into existing systems.
  • Develop and implement algorithms for image and video processing, feature extraction, and object recognition.
  • Optimize system performance using various optimization techniques.
  • Troubleshoot and debug issues in computer vision systems.
  • Stay updated with the latest advancements in computer vision and apply them to improve system performance.

Job description

BaseBiz is seeking a highly skilled Computer Vision Architect to work remotely in the United States. The role emphasizes performance-aware design, embedded platforms, and collaboration with cross-functional teams to integrate vision solutions.

You will develop algorithms for image and video processing, feature extraction, and object recognition, optimize performance, and stay current with CV advancements to drive system improvements. Strong math background and communication skills are essential.

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