Partner with research engineers across levels to implement and validate video compression ideas, delivering reproducible prototypes and integration-ready code
Design, implement, and optimize video codec software components with strong engineering rigor (correctness, performance, maintainability, and testability).
Provide software implementation guidance and technical reviews (architecture, coding style, performance trade-offs), helping unblock research execution and improve delivery velocity.
Build and improve shared infrastructure (e.g., testing pipelines, scripts, datasets, configurations, regression tests, profiling tools) to scale team experimentation and quality.
Integrate and profile tool interactions, ensuring stable baselines and reliable comparisons across experiments and platforms.
Communicate technical findings and implementation insights to internal stakeholders and, when needed, to clients/partners and industry audiences.
Qualifications:
Minimum:
Ph.D. or M.S. (EE/CS or related) with 2+ and 6+ years of relevant research and/or product experience in video compression, respectively.
Experience with standards reference software, conformance/bitstream compliance, and maintaining stable experimental baselines.
Solid understanding of at least one modern video coding standard, including HEVC/H.265, VP9, VVC/H.266, AV1, AV2, or ECM.
Expert-level C/C++ skills, with strong debugging, profiling, and performance optimization capability.
Proven experience developing video codec software, including hands-on development of software video encoders (e.g., encoder architecture, tool integration, rate control, performance optimization, or real-time pipelines).
Strong written and verbal communication skills, including the ability to collaborate effectively with researchers and cross-functional partners.
Track record of technical impact through high-quality software delivery, performance improvements, and/or widely used internal tooling.
Preferred:
Hands-on implementation experience in one or more coding tool areas (e.g., intra/inter prediction, transform/quantization, in-loop filtering, entropy coding, high-level syntax).
Experience with performance portability and optimization (SIMD, multithreading, and platform-aware profiling).
Familiarity with IP generation workflows and supporting patent filings (e.g., evidence generation, documentation, and collaboration with patent counsel).
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