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Research Engineer Graduate (Realtime Codec Optimizations-Video Codec) - 2027 Start (PhD)
San Diego, California · Full-time · Posted Oct 28, 2026
- Experience
- Completing or recently completed a PhD; no number of years specified.
- Education
- PhD in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related discipline.
About the job
Research and develop realtime video codecs and processing algorithms, optimizing them for live-streaming performance and transferring research prototypes into production systems.
What you'll do
- Design and optimize realtime video encoding and decoding frameworks and algorithms for streaming and emerging video formats.
- Improve perceptual video quality under practical bitrate and latency constraints across heterogeneous computing platforms.
- Document codec interfaces and specifications, collaborate on production deployment, and track developments in video coding and standards.
What they ask for
- Completing or recently completed a PhD in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related discipline.
- Strong foundations in algorithms, data structures, software design, and performance optimization.
- Solid understanding of modern image/video compression and processing algorithms.
- Strong programming, debugging, and optimization skills in C/C++ or other relevant system-level programming languages.
Nice to have
- Research or industry experience in image/video systems such as live streaming, video conferencing, realtime communications, or offline transcoding.
- Experience with neural network-based image/video coding and processing methods.
Tools
C/C++, AVS, H.264/AVC, H.265/HEVC, VVC, AV1, NEON/SIMD
AI focus
Preferred experience includes neural network-based image/video coding and processing methods.
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