Senior Software Engineer, Video Algorithms (l5)

Netflix Netflix · Big Tech · United States · Remote · Data & Insights

Senior Software Engineer with deep video processing expertise to join the Video Algorithms team, focusing on building best-in-class video encoding solutions for Live, Ads, and VOD. Responsibilities include in-codec experimentation, building PoCs, working with internal and external partners, building experimentation systems, and productizing solutions.

What you'd actually do

  1. Perform in-codec experimentation, and build PoCs to support the team’s encoding innovation initiatives. Examples include: scalable video coding, robust encoding and error protection, low-latency encoding, perception-driven encoding optimization.
  2. Work with internal partners such as the streaming pipeline, device teams, streaming algorithms, and external partners such as encoder vendors, SOC manufacturers and OEMs to take prototypes into production.
  3. Build experimentation systems on top of existing media platforms, using paved path languages such as C/C++, Python and Java, and run large experiments to benchmark a solution in terms of rate-quality tradeoff, latency, system performance, etc.
  4. Work on productizing your solutions using paved path tools.

Skills

Required

  • 5+ years experience in multimedia software development
  • excellent debugging and problem solving skills
  • MS in Computer Science/Electrical Engineering or equivalent or extensive experience
  • In-depth knowledge of video coding standards (AV1, AV2, AVC, HEVC)
  • Rich hands-on experience with open-source/proprietary encoder/decoder codebases, such as libaom, SVT-AV1, dav1d, libx264, libx265
  • General understanding of video codecs ecosystems, such as TV/mobile/PC SOC/OEM support for different codecs
  • Fluent coding capability in C/C++
  • ability to write systems code in Python or Java
  • Good communication skills
  • collaborative spirit

Nice to have

  • Familiarity with media packaging, transport protocols such as CMAF, DASH, LL-HLS, RTMP and SRT
  • Low-level performance optimization capability: SIMD, Assembly, etc.
  • Experience with/contribution to open-source projects
  • Familiarity with video quality metrics
  • Knowledge in image and signal processing techniques such as image scaling, deinterlacing, frame rate conversion, artifact detection etc.
  • PhD a plus
  • Curious to learn, and capable of picking up new skills quickly