Panasonic

Enriching Lives Through

INNOVATION & TECHNOLOGY

Going beyond just providing good products, we at Panasonic are firmly entrenched in the brief of delivering ideas that will have a profound impact on people's lives around the world. At the forefront of this endeavor is ensuring that our ideas are allied with the relentless pursuit of reaching new heights of excellence when it comes to pushing the boundaries of innovation. This allows us to focus on enriching the present and enhancing the future for societies throughout the globe. 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.

Successful candidates will have opportunities to collaborate with researchers and engineers from leading technology companies, universities, and research institutions worldwide through international technical discussions and standardization activities. Your technical contributions may influence future multimedia standards and technologies used by millions of people around the world.