Senior PQ Algorithm Engineer at Roku

Hsinchu, , Taiwan -

Full Time

Start Date

Immediate

Expiry Date

16 Aug, 26

Salary

0.0

Posted On

18 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Video Processing Algorithms, Deep Learning, AI, Motion Estimation & Compensation, HDR, Tone Mapping, Super Resolution, Noise Reduction, Color Management, Local Contrast Control, CNN, Transformer, Diffusion Models, Model Compression, Edge Inference Optimization, Algorithm Validation

Industry

Software Development

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 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 Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet. By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.

Responsibilities

Develop and optimize innovative video algorithms blending classical signal processing with AI and deep learning for Roku platforms. Design and deploy lightweight neural network models for SoC/NPU hardware to enhance picture quality and cost efficiency.