2021 New Grad, Video Processing Algorithm Engineer at Zoom Video Communications
As a Video Processing Algorithm Engineer - New Grad, you will explore opportunities to develop and improve video codec standards in order to improve real-time video quality and performance on Zoom video products.
Work across our stack, developing software ranging from Web Server to business application layer for our distributed, cloud-hosted backend. Our Global Emerging Talent Program offers cutting edge projects, as well as a mix of additional types of learning in areas of leadership and business acumen -- and is packed full of fun! While working alongside fellow experts in the field, you will deliver happiness to our users and grow your knowledge base each and every day.
Conduct performance research evaluations on image/video processing algorithms
Leverage signal processing, machine learning and deep learning techniques to solve computer vision problems
Possess strong skills in the areas of development and real-time implementation of video processing system
Analyze factors that impact algorithm runtime on various platforms and come up with solutions for real-time implementation without sacrificing algorithm performance. Analyses at both algorithm level and coding level (x86/x64/Arm neon assembly optimization, data structure optimization, multiple thread, GPU acceleration, etc.) are conducted to achieve the goal.
Develop and prototype innovative algorithms in Zoom’s video processing pipeline.
Design new video features to tackle new and existing problems on Windows, macOS, IOS, Android and Linux systems
Perform feasibility analysis and validation, develop corresponding demos and cooperate with team members for feature deployment on various platforms
Test current algorithms and write testing documents.
Collaborate with internal stakeholders across the business to drive the delivery of features, processes and happiness.
At least 18 years old, currently enrolled in a four year academic institution completing an undergrad, grad, or PhD degree in Computer Science, Electrical Engineering, or a related STEM field. (Applicants must be graduating between December 2020 and September 2021 or be on track to earn their Bachelors or Masters or Ph.D. prior to the role start date)
Excellent C++/C and Python programming skills and experience with libraries for deep learning, such as TensorFlow, PyTorch, Keras, Caffe, etc.
Familiar with video processing techniques, such as semantic segmentation, object detection, object tracking, image enhancement (traditional method or deep learning method), etc.
Experience on Convolutional Neural Networks or (CNN) structure optimization and acceleration
Ability to crystallize vague concepts into concise plans with clear documentation.
Detail oriented, organized, ethical, responsible, and self-motivated.
Team player, ability to work effectively in a matrix organization.
Strong communication skills and a desire to learn something new.
A passion for creating products that resonate emotionally with people.
A passion for Zoom’s mission, vision, values, and culture.
Ensuring a diverse and inclusive workplace where we learn from each other is core to Zoom’s values. We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records as well as any qualified applicants requiring reasonable accommodations in accordance with the law.
We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
All your information will be kept confidential according to EEO guidelines.
Zoom requires all U.S. employees who will work in person at a Zoom office, attend in-person Zoom meetings or have in-person customer meetings to be fully vaccinated. Zoom will consider requests for reasonable accommodations for religious or medical reasons as required under applicable law.
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