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GPU Virtualization Engineer

1 month ago

San Jose, United States Oho Group Ltd Full time

We are working with a leading innovator in smart electric vehicles who are seeking GPU Virtualization Engineers. The company specializes in autonomous driving, digital systems, electric powertrains, and batteries. Notable advancements include battery swapping technology, Battery as a Service (BaaS), and Autonomous Driving as a Service (ADaaS). Its diverse lineup features flagship SUVs, coupe SUVs, and sedans designed to meet various needs.


Responsibilities

  • Architect and develop technical solutions to enable high-performance, high-throughput, and highly reliable GPU virtualization for cross-platform vehicle initiatives.
  • Build and optimize GPU virtualization software technology for graphics and display with a focus on functionality, performance, efficiency, and reliability.
  • Design scalable solutions and enhance their performance for real-world applications.
  • Develop guest drivers and libraries for GPU software components on Android/Linux and QNX platforms using QEMU.
  • Collaborate with engineering teams to address practical constraints and ensure the seamless integration of GPU virtualization into vehicle software development, validation, and deployment.
  • Deliver high-quality solutions aligned with product roadmaps on schedule.
  • Stay informed about industry trends and competitors' technical strategies.



Requirements:

  • 3+ years in software architecture and GPU virtualization technology development.
  • 7+ years in building complex software systems.
  • Strong knowledge of GPU architecture and virtualization for Graphics and Display (OpenGL, OpenGL ES, Vulkan, Metal).
  • Proficiency in QEMU, Android, and QNX emulator or simulator architecture.
  • Expertise in GPU VM driver software architecture for virtualized environments (e.g., QEMU, KVM, VMware, VirtualBox, Xen).
  • Experience with automotive platforms is a strong plus.
  • Exposure to cloud computing, databases, and logging techniques.
  • Familiarity with microkernel architecture, Linux kernel, hypervisors, middleware, and application frameworks.