Computer Vision Engineer

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

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