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Computer Vision Engineer

Roles & Responsibilities

  • Bachelor’s or master’s degree in computer science or a related field
  • Proven experience developing and implementing computer vision algorithms and AI models
  • Proficiency in programming languages such as Python or C++
  • Familiarity with computer vision libraries such as OpenCV

Requirements:

  • Develop and implement computer vision algorithms for image segmentation, object detection, and image classification
  • Integrate computer vision algorithms and models into real-time broadcasting applications
  • Train, fine-tune, and optimize computer vision models using machine learning frameworks and deep learning libraries
  • Build virtual camera drivers to enhance video output for streaming platforms

Job description

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

Job Responsibilities :

We seek a skilled Computer Vision Engineer to develop and optimize real-time low latency video camera software for broadcasting applications. The role focuses on video capture, processing, and integration of third-party effects, with an emphasis on performance and reliability in resource-constrained environments. The successful candidate will also demonstrate a proactive mindset—continually learning new skills, tools, and technologies to stay ahead in a fast-evolving field and drive innovation within the team.

Key Responsibilities

  • Develop and implement computer vision algorithms for tasks such as image segmentation, object detection and image classification.
  • Integrate computer vision algorithms (internal and external) and models into real-time broadcasting applications
  • Collect, and annotate datasets of images or videos for training and evaluation of computer vision models.
  • Train, fine-tune, and optimize computer vision models using machine learning frameworks and deep learning libraries.
  • Evaluate the function and performance of computer vision models using appropriate metrics and benchmarks.
  • Build virtual camera drivers to enhance video output for streaming platforms.
  • Stay updated on emerging technologies, trends, and advancements in computer vision through research and experimentation.

Pre-Requisites :

Required Skills

  • Bachelor’s or master’s degree in computer science, or a related field.
  • Proven experience in developing and implementing computer vision algorithms and AI models.
  • Proficiency in programming languages such as Python or C++.
  • Familiarity with computer vision libraries such as OpenCV.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and teamwork abilities

Are you game?

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