Senior Software Engineer - Computer Vision & AI (625493)

Netpace, Inc.

$120K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or a related engineering discipline.
  • Proficient in computer vision technologies for AR and Vision AI applications.
  • Strong understanding of object recognition, tracking, and environment reconstruction.
  • Experience with machine learning technologies including model optimization and inference.
  • 3+ years of experience in C/C++ and Python programming.
  • Good communication and presentation skills.
  • PhD preferred in computer vision, machine learning, or related fields.

Responsibilities

  • Develop efficient data structures and algorithms for media processing.
  • Optimize software components for tracking and environmental recognition.
  • Enhance the performance and quality of computer vision software.
  • Contribute to delivering high-quality augmented reality experiences.
  • Analyze and optimize system performance for computer vision applications.

Benefits

  • Innovative work environment with a focus on cutting-edge technologies.
  • Opportunities for professional development and continued education.
  • Collaboration with talented and experienced teams in the field.
  • Health, wellness, and work-life balance initiatives.
Full Job Description
Senior Software Engineer - Computer Vision & AI Responsibilities Work on the engineering effort for efficient data structures and algorithms to enable faster media processing. Optimize tracking, environment recognition and construction, machine learning software components. Help deliver an exceptional AR experience by improving performance and quality of our computer vision (traditional and Client based) software. Basic Requirements Bachelor's degree or higher; majors in Computer Science or other related engineering disciplines. Proficient in computer vision technologies and the application of computer vision in AR, Vision AI or related fields. Good understanding of Computer Vision technologies and their applications, such as object recognition, tracking, environment re-construction. Good understanding of Machine Learning technologies and tools, such as training framework and tools, model compression, inference optimization. Proficient in performance analysis and optimization techniques. Have innovative spirit and can track the trend of technology development Proficient in C/C++, Python, with 3+ years of related working experience. Good communication and presentation skills. Preferred Professional Knowledge & Skills PHD degree in the field of computer vision, Machine Learning, or related research domains. Experience in media processing, including image, video, audio. Proficient in machine learning technologies, industry trend and application of machine learning in computer vision. Deep understanding of AR technologies, such as, illumination design, light field display, environment modeling and recognition

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