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Asia’s leading technology group, KKCompany Technologies （KKCompany）, is a leader in software services. Our mission is to build “Freeways to Inspiration” and help industries achieve digital transformation. By creating technology highways with partners, we deliver our services around the world and drive value creation through future technology.

In addition to our flagship brands KKBOX, KKStream, and Going Cloud, our core technologies cover various fields such as music streaming, multimedia, and cloud services. Through a range of products and services, we help customers create commercial value. We also offer software services and solutions to over tens of millions of customers with corporate clients across Asia covering various industries such as telecommunications, entertainment and multimedia, media, education, and fitness centers.

We have over 500 employees across offices in Tokyo, Singapore, Taipei, Kaohsiung, and Hong Kong.

Summary

We're looking for video engineer/scientist to work closely with us to provide stable and flexible adaptive streaming service. You will build pipeline with adaptive streaming specifications, including MPEG-DASH, HLS and Smooth Streaming. Furthermore, you may even participate in associated communities, ex DASH-IF or Streaming Media West, to connect our team to the world. With our release of video streaming service, you will be in charge of all adaptive streaming techniques. What are you waiting for?!

Duties and Responsibilities:

• Researching DASH, HLS, Smooth Streaming and/or future adaptive streaming specifications, and then provide education on these techniques.
• Building pipeline for DASH/HLS/MSS packaging on the cloud platform.
• Quantifying playback performance metrics of adaptive streaming.
• Partnering with internal teams to troubleshoot problem adaptive streaming.

Requirements: 

• 3+ years of relevant multimedia software development experience.
• Knowledge of multimedia technologies, including container, codec and/or subtitle formats.
• Experience with open-source packaging tools such as FFmpeg and GPAC.
• Experience with Linux
• Knowledge of high-level scripts, like Python, Ruby or Perl, for automated processing flow.

*** The salary range is for reference and the actual salary will be further discussed with the candidate during interview process***