Roku

TV streaming platform

SeniorPQAlgorithmEngineer

Hsinchu, Taiwan Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior PQ Algorithm Engineer at Roku. Skills: PQ algorithm engineer, software background, AI / deep learning, video processing algorithm development, classical signal processing, lightweight neural network models, edge inference optimization. improve existing and develop new video algorithms for various Roku platforms. blending classical signal processing with AI / deep learning approaches”

Industry & Context.

TV streaming platform
Problems you'll solve

problem-solvers

What They're Looking For.

Must Have

10+ years of relevant video processing algorithm development experience, Master's degree in Computer Science / Engineering, Electrical Engineering, or other relevant fields, Experience in SoC- or TCON-based processing, Familiarity with deep learning models (CNN, Transformer, Diffusion) applied to image / video processing: SR, denoising, frame interpolation, restoration, etc., Understanding of model compression and edge inference optimization, Effective use of AI tools, automation pipeline design, and proficiency in algorithm validation and data processing, Excel working in a fast-paced, collaborative engineering environment, Excellent communication skills

Nice to Have

Publications or patents in image processing or machine learning, Experience with GPU compute optimization, Experience handling and annotating large-scale video datasets

What You'll Do.

improve existing and develop new video algorithms for various Roku platforms

blending classical signal processing with AI / deep learning approaches

work with different SoC / NPU hardware and software components

production-ready solutions

Develop innovative video algorithms spanning classical PQ pipeline and AI / deep-learning hybrid approaches

and deploy lightweight neural network models tailored for TV SoC / NPU

Implement and evaluate algorithms via simulation or real-time setups

Optimize subjective picture quality and establish objective evaluation metrics

Investigate system cost-down options while compensating with video processing techniques

Reverse-engineer competitor solutions at the algorithmic level and apply AI methods to push beyond current limits

Integrate AI inference engines with the traditional PQ pipeline

write technical specifications

Build and demonstrate prototypes of new technologies

How You'll Work.

Team & Collaboration

collaborative engineering environment; collaboration and trust

Communication Scope

Excellent communication skills

Full Job Description

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team We are looking for a talented, senior-level PQ algorithm engineer with a strong software background and hands-on experience in AI / deep learning to join Roku's TV Platform Picture Quality (PQ) team and drive the next generation of picture quality algorithms. Are you an engineer who enjoys a challenge? Come work on one of the most popular streaming platforms, currently running on one in every three smart TVs sold in North America! About the role In this role, you will improve existing and develop new video algorithms for various Roku platforms, blending classical signal processing with AI / deep learning approaches to enhance viewing experience, cost efficiency, and product differentiation. You will work with different SoC / NPU hardware and software components, and design scalable, production-ready solutions. What you’ll be doing Develop innovative video algorithms spanning classical PQ pipeline and AI / deep-learning hybrid approaches Design, train, and deploy lightweight neural network models tailored for TV SoC / NPU Implement and evaluate algorithms via simulation or real-time setups Optimize subjective picture quality and establish objective evaluation

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