Cloud Animation Infrastructure Architect

vor 3 Wochen


Zürich, Zürich, Schweiz NVIDIA Vollzeit

NVIDIA, a pioneer in the tech industry, is seeking an experienced Cloud Animation System Engineer to join its Interactive Avatar Team. With groundbreaking developments in avatars, artificial intelligence, and visualization, NVIDIA is at the forefront of innovation.

The successful candidate will work alongside highly skilled engineers, scientists, and artists to drive architecture, core technology, and features for the NVIDIA Omniverse TM Avatar Cloud Engine (ACE). ACE is a suite of real-time AI solutions for development and deployment of end-to-end interactive avatars and digital human applications.

Key Responsibilities:
  • Design and maintain microservices for ACE, focusing on animation, lip animation, gesturing, rendering, audio mixing, and other related technologies.
  • Ensure low latency while scaling microservices to support thousands of users.
  • Drive the software development cycle and new product features for interactive avatars.
  • Collaborate with development teams to build software with emphasis on reliability, performance, scalability, security, and sustainability.
  • Review and contribute to software quality across products.
Requirements:
  • Master's degree in Computer Science or related field, or equivalent experience.
  • 5+ years of experience in cloud computing, systems software, and designing cloud infrastructures.
  • Strong understanding of animation technologies, including blendshapes, skeletal animation, rigging, USD, rendering, etc.
  • Experience with cloud computing using technologies like Kubernetes, Docker, OpenAPI, Azure, AWS, GCP.
  • Expertise in Python development, with good knowledge of C++.
  • Strong teamwork skills, with ability to help others succeed and grow.
  • Proficient in English and good communication skills.
Desirable Skills:
  • Experience working in real-time applications, such as animation, rendering, or computer vision.
  • Knowledge in fields like audio processing or computer vision.
  • Experience with cloud-based real-time applications.

NVIDIA has revolutionized modern computer graphics and parallel computing through its invention of the GPU in 1999. More recently, GPU deep learning ignited modern AI, the next era of computing.



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