Senior Research Engineer, Neural Network Video Coding

Senior Staff Research Engineer, Neural Network Video Coding

About Ofinno:
Ofinno is a leading research and development lab headquartered in Reston, Virginia, specializing in advancing communication and media standards. Our team’s innovative work has led to significant contributions to technologies such as 5G cellular, Wi‑Fi, and media compression. Ofinno holds strategic partnerships and licensing agreements with several of the world’s leading technology companies that use such technologies. At Ofinno, we foster an environment of collaboration and excellence, where researchers can focus on delivering breakthroughs that shape the future of technology.

As a Senior Staff Research Engineer in the Advanced Media Lab, you will serve as the tech stack owner for our neural network-based video coding (NNVC) efforts and lead related standardization activities. You will set the research direction with cross‑team impact, turning neural coding ideas into reproducible evidence, standards‑ready proposals, and patentable inventions.

• Own NNVC technical direction end‑to‑end, from research framing to standards‑ready proposals.
• Collaborate cross‑team to remove blockers, integrate tool interactions, and improve shared infrastructure (e.g., testing pipelines, scripts, datasets, and configurations).
• Communicate research findings and technical insights to clients, partners, and industry audiences, representing the company’s expertise in video compression.
• Drive standards contributions by authoring technical proposals, defending results, and working with delegates/partners to align test conditions, baselines, and conclusions.
• Invent and develop patentable solutions that improve compression efficiency and/or complexity, and support the full IP process—from invention disclosure through filing.
• Implement and optimize GPU‑accelerated training and/or inference workflows for NNVC tools, including profiling and performance tuning for latency, throughput, and memory.
• Mentor and multiply team output through code reviews, technical coaching, interview participation, and onboarding others to NNVC methodology and best practices.

• M.S. (EE/CS or related) with 7+ years of relevant research and/or product experience in video compression and/or NNVC.
• Prior delegate or active contributor experience in video coding standardization bodies, including JVET, MPEG, or AOM.
• Deep expertise in video compression plus strong capability in machine learning for vision/video (model design, training, evaluation, and failure analysis).
• Solid understanding of at least one modern video coding standard, including HEVC/H.265, VP9, VVC/H.266, AV1, AV2, or ECM.
• Proven ability to act as an architect/tech stack owner: make sound technical decisions, set direction, and drive execution through measurable outcomes.
• Strong implementation skills across the stack:
  PyTorch (or equivalent) for training/inference workflows and C/C++ for codec prototyping and/or production integration.
• Strong written and verbal communication skills, including the ability to represent the company in standards meetings and industry events.
• Track record of technical impact through peer‑reviewed publications, patents, and/or standards contributions.

• Ph.D. (EE/CS or related) with 7+ years of relevant research and/or product experience in video compression and/or NNVC.
• Hands‑on experience in one or more video coding tool areas, including neural in‑loop filtering, neural prediction, learned transforms, or end‑to‑end neural video compression.
• Hands‑on experience with GPU acceleration, including performance tuning and deployment considerations.
• Familiarity with the patent filing process and collaborating with patent attorneys.

• 401(K) matching
• Free healthcare plans – full premium coverage for you and your family on selected healthcare plans, including employer HSA contributions.
• Free food – kitchen stocked with lunch, protein bars, fruit, sodas, coffee, and tea.
• Unlimited paid time off and sick leave.
• On‑campus gym.
• Additional benefits – please discuss with People Ops.

All your information will be kept confidential according to EEO guidelines.