Senior PQ Algorithm Engineer

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 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 Document algorithms, file patents, and write technical specifications Build and demonstrate prototypes of new technologies We’re excited if you have Core experience 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 preferred Technical specialties Motion Estimation Compensation (MEMC): motion vector estimation, frame interpolation, judder/blur handling HDR / Tone Mapping: HDR10, Dolby Vision, HLG, including inverse tone mapping Scaler / Super Resolution: classical and AI-based methods Noise Reduction: spatial / temporal denoising, compression artifact removal Sharpness / Detail Enhancement Color Management: WCG, gamut mapping, 3D LUT Local Contrast Backlight Control: local contrast enhancement, local dimming AI / deep learning capabilities 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 Engineering capabilities 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 #LI-AK1 Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office ... (truncated, view full listing at source)