Software Engineer - Video Algorithm Systems (L4)
NetflixUSA - Remote$250k – $413kPosted 30 March 2026
Job Description
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
The Challenge:
At Netflix, we are dedicated to delivering an unparalleled viewing experience, ensuring high video quality for our members no matter the content (from a 4K HDR documentary like
Our Planet
at home to
Stranger Things
over a cellular network on a commute), the location, or the device.
As Netflix expands its live streaming, this role involves maintaining our standard of excellence for live streams and events—be it BTS concerts, an Alex Honnold climb, or the WBC—while simultaneously tackling the added engineering complexity of real-time streaming and low latency.
To meet these challenges and make every bit of our video streams count, we must constantly improve our video encoding and processing algorithms. This requires evaluating the latest technologies and workflows in a way that is scalable, quality-focused, and latency-efficient.
We are seeking a Software Engineer in Video Algorithm Systems to help solve these complex engineering problems and drive strategic research in the field.
The Role:
As a Software Engineer in Video Algorithm Systems:
Algorithm and Workflow Development:
Design and prototype advanced encoding algorithms and software workflows focused on enhancing video quality and/or reducing bandwidth consumption for our video streams.
Live Video Focus:
Engage directly with the live domain, concentrating on live encoding orchestration, real-time quality analysis, and supporting the newest live events released on Netflix.
Impactful Technical Challenges:
Tackle complex video encoding problems, ensuring that Netflix videos are best-in-class quality while simultaneously meeting the low-latency demands of live streaming.
Research and Innovation:
Pursue research into next-generation image and video coding technologies and the latest encoding tools. This includes opportunities to collaborate with academic research groups and present work at research conferences.
About You:
You are a Software Engineer who:
Can handle ambiguity of niche challenges and thrives in a fast-paced environment
Demonstrates strong technical curiosity and a drive to deepen technical expertise.
Works effectively with cross functional teams
Has a strong distributed systems expertise and experience designing, building, and operating systems at scale
Has a background in video algorithms or media processing
Experience building new products from the ground up with strong system design fundamentals and extensible architectures
Is excited to apply your expertise to a product that touches millions of lives everyday
Preferred Qualifications:
Expertise in optimizing software performance.
Strong knowledge of video streaming and encoding principles, including codec standards (e.g., H.264/AVC, HEVC, AV1) and professional tools like Media Live and Ateme.
Experience in image and video quality assessment.
Minimum qualifications:
Experience with large-scale distributed systems and cloud-computing
4+ years experience in multimedia software development, with excellent debugging and problem solving skills.
BS in Computer Science/Electrical Engineering or equivalent. MS or PhD a plus.
Strong Java or C++ experience with solid software design fundamentals
Background in Media Processing and knowledge on Video Foundations
Bonus points:
Experience with software performance optimization
An understanding of video compression and encoding, including tools such as Media Live, Ateme and codec standards such as H.264/AVC, HEVC and AV1.
Involvement in open-source multimedia projects (such as ffmpeg, x264, avisynth, webm)
Experience with image and video ... (truncated, view full listing at source)
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