R&D Engineer / Researcher – Video Coding & Standardization

Fresh graduates and early-career engineers are encouraged to apply.

Responsibilities:

• Research and develop advanced video coding, compression, and neural-network-assisted coding technologies.
• Design, implement, and evaluate algorithms using software experimentation frameworks.
• Investigate, implement, and optimize neural-network-assisted coding tools that improve coding efficiency, compression performance, visual quality, or video codec functionality.
• Analyze technical papers, standards documents, and emerging technologies.
• Present and defend technical proposals and participate in technical discussions with experts from industry and academia.
• Contribute to international multimedia standardization activities and technical proposal development.
• Collaborate with researchers, software engineers, IP specialists, and product teams across Panasonic's global R&D network.

Requirements:

Required Qualifications

• Bachelor's, Master's, or PhD degree in Computer Science, Computer Engineering, Electrical/Electronics Engineering, Mathematics, or a related discipline.
• Good programming skills in C/C++ and Python.
• Strong analytical and problem-solving skills.
• Interest in algorithms, signal processing, data compression, multimedia systems, or neural-network-assisted coding technologies.
• Good written and verbal communication skills.
• Ability to prepare clear technical reports, documentation, and presentation materials.
• Self-motivated, proactive, and willing to learn new technologies.
• Able to work independently as well as collaboratively in a team environment.

Preferred Qualifications

The following are advantageous but not mandatory:

• Knowledge of video coding, data compression, signal processing, or multimedia systems.
• Familiarity with machine learning or neural network frameworks.
• Experience with neural network modification, tuning, training, or evaluation.
• Experience with scripting, software experimentation, automation, or data analysis.
• Experience preparing technical reports, research papers, patents, or project documentation.
• Participation in engineering competitions, open-source projects, personal technical projects, or relevant research activities.