{"id":"8091184385","title":"Senior Software Engineer – Live & VOD Video Infrastructure","posted_at":"2026-06-14T16:03:56.000Z","apply_url":"https://job-boards.greenhouse.io/roku/jobs/7438173","locations":["San Jose, CA"],"employment_type":"full_time","workplace_type":null,"seniority_level":"senior","description_language":"en","source_name":"greenhouse","source_url":"https://www.weareroku.com/jobs/7438173?gh_jid=7438173","salary":{"min":285000,"max":345000,"currency":"USD","period":"year","display":"$285,000–$345,000"},"job_summary":"Roku is the leading TV streaming platform connecting consumers, content publishers, and advertisers. This role involves building, optimizing, and maintaining high-performance video encoding pipelines for the Roku Cloud TV Platform.","job_description":{"responsibilities":["Design and maintain FFmpeg-based encoding pipelines for VOD and Live workflows in cloud environments.","Develop and validate encoding presets for H.264, HEVC, and AV1 codecs.","Implement advanced encoding strategies including multi-pass workflows and per-title optimizations.","Benchmark video quality using VMAF and other objective metrics.","Build adaptive streaming packaging workflows for HLS, DASH, and CMAF.","Optimize system performance by identifying bottlenecks in compute, storage, and I/O.","Collaborate cross-functionally to advance video service initiatives."],"minimum_qualifications":["5+ years of programming experience.","Expert-level knowledge of FFmpeg or Gstreamer.","Experience with hardware-based encoder/decoder libraries.","Strong understanding of compression theory, codec internals, and GOP structures.","Experience with container formats like MP4, TS, and ISOBMFF.","Familiarity with HLS/DASH, CMAF, adaptive bitrate design, DRM, and SCTE 35.","Hands-on experience with cloud compute such as AWS or GCP.","Bachelor's degree in computer science plus 8 years of experience or equivalent."],"preferred_qualifications":["Master's degree.","Track record working with applied AI-based video enhancement and compression algorithms."]},"visa_sponsorship":null,"experience_years_min":5,"job_address":null,"job_city":"San Jose","job_state":"CA","job_country":"US","location_lat":37.336157,"location_lng":-121.890608,"keywords":["lifecycle management","cross-functionally","infrastructure","collaboration","observability","Collaborate","large-scale","distributed","low-latency","performance","advertising","engineering","monitoring","algorithms","Kubernetes","automation","processing","telemetry","real-time","debugging","pipelines","streaming","inclusive","ecosystem","workflows","scalable","hardware","Platform","Flexible","pipeline","customer","teamwork","backend","latency","writing","privacy","develop","design","vision","global","Python","teams","local","audio","video","data","Java","GCP","GPU","C++","AWS","AI","C+"],"company":{"name":"Roku","logo_url":"https://img.logo.dev/roku.com?token=pk_fWx5G5QrQMm-0Ud8BW3mBg&size=64&format=png","description":"Roku operates a TV streaming platform that connects consumers to content, enables publishers to monetize audiences, and provides advertising solutions.","website_url":"https://www.roku.com/","linkedin_url":"https://www.linkedin.com/company/roku","glassdoor_url":"https://www.glassdoor.com/Overview/Working-at-Roku-EI_IE26760.11,15.htm","x_url":"https://x.com/Roku","instagram_url":null,"youtube_url":"https://www.youtube.com/@RokuUS","github_url":null,"huggingface_url":null,"tiktok_url":null,"crunchbase_url":"https://www.crunchbase.com/organization/roku","facebook_url":"https://www.facebook.com/roku/","employee_count_range":"1001-5000","employee_count":3600,"founded_year":2002,"headquarters":{"address":"San Jose, California, U.S.","city":"San Jose, CA","country":"US","lat":37.3382,"lng":-121.8863},"industry":"media","company_type":"other","total_funding_usd":null,"locations":["Aarhus, Denmark","Austin, TX","Bengaluru, India","Boston, MA","Cambridge, United Kingdom","Cardiff, United Kingdom","Chicago, IL","Denver, CO","Field Bavaria","Field San Francisco, CA","Field Seattle, WA","Field United States","Hsinchu, Taiwan","London, United Kingdom","Manchester, United Kingdom","Mexico City, Mexico","New York, NY","San Francisco, CA","San Jose, CA","Santa Monica, CA","Shenzhen, China","Stamford, CT","Toronto, Canada","Washington, DC"]}}