An industry leading smart electric vehicle company is looking for a Virtualization Engineer that specialises within GPU.

Their focus areas include designing, developing, co-manufacturing, and selling high-end smart electric vehicles. They specialize within autonomous driving, digital technologies, electric powertrains, and battery systems.

Roles and Responsibilities:

• Design and implement technical solutions to enable high-performance, high-throughput GPU virtualization for cross-platform vehicle initiatives.
• Develop GPU virtualization technology focused on graphics and display for enhanced functionality, performance, efficiency, and reliability.
• Optimize these solutions for scalability and performance.
• Develop guest drivers/libraries for GPU software components in Android/Linux and QNX environments using QEMU.
• Collaborate with other engineering teams to integrate GPU virtualization into vehicle product software, ensuring real-world constraints are addressed.
• Deliver high-quality GPU virtualization software solutions according to the product roadmap and deadlines.

Required Qualifications:

• 3+ years of experience in software architecture and development for GPU hardware and software-level virtualization.
• 7+ years of experience in developing complex software systems.
• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• Strong expertise in GPU architecture and virtualization for Graphics and Display (OpenGL, OpenGL ES, Vulkan, Metal).