英特尔intel！Cloud System Engineer

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Cloud System Engineer

Job description:

Intel Sports is developing the future of volumetric video using True View technology.

True View technology features Free Dimensional Video , which is an entirely new concept for capturing live events. It allows users to immersively interact with live video***r /> Our content is captured in the largest sports and entertainment events and venues in the world - Super Bowl (NFL), El Clsico (LaLiga), NBA games, etc. and is used today on television.

Check it out- https://www.***.com/watch?v=J7xIBoPr83A

Highly experienced and motivated cloud software engineer to join the development of a high-performance computing infrastructure for a large scale multi-camera system.

You will be a part of a team of highly skilled engineers in a highly dynamic work environment, where you will be expected to show initiative and technological innovation.

The team will build and maintain the very foundation upon which the entire production software and operational system will be based.

1. Invent, design, build, deliver, and operate solutions that drive standards and efficiency across the ecosystem.
2. Build the infrastructure that allows other software engineers to quickly deploy, run and scale their software.
3. Plan, design, develop, test, and modify software systems or applications for enhancements and new products that are specifically focused on cloud service development.
4. Use current programming language and technologies, writes code, completes programming, and performs testing and debugging of applications.
5. Complete documentation and procedures for installation and maintenance.

Job qualification:

• Master degree or above in CS/EE.
• Excellent coding skill with Python, shell and/or other programming languages, writing high quality code.
• Solid knowledge in computer system architecture and networking, strong ability in basic data structure and algorithm.
• Extensive experience with distributed system program development, at least 3 years and above in related area.
• Extensive experience with Linux / Kubernetes / Docker, familiar with micro service architecture.
• Familiar with at least one of the modern deep learning frameworks, experience in programming under Linux with multiple GPU.
• Excellent communication skills, eager to learn new technologies.