Category: Engineering

Employment Type: Direct Hire

Reference: BH-372352

GPU Graphics Virtualization Software Engineer
Responsibilities:

• Architect and develop technical solutions that help us deliver high-performance, high-throughput, and high-reliability of GPU virtualization for cross platform vehicle initiatives.
• Develop GPU virtualization software technology for graphics and display in terms of functionality, performance, efficiency and reliability.
• Optimize the solutions developed for performance and design them for scalability.
• Developing Android/Linux and QNX guest drivers / libraries for GPU SW components on QEMU.
• Partner with other engineering teams to understand real-world constraints and to support the high-quality implementation of GPU virtualization for vehicle product SW development, validation and integration.
• Delivering GPU virtualization software solutions in line with product roadmap on time with high quality.
• Follow industry trends and study competitors' technical stacks.

• 5+ years of experience in software architecture design and development for GPU hardware and software-level virtualization technologies.
• Expertise in QEMU.
• Expertise in GPU VM driver software architecture and development in virtualized environments (e.g. QEMU, VirGL or VirtIO)
• 10+ years development experience of building complex software systems.
• BS / MS in Electrical Engineering, Computer Engineering, Computer Science or equivalent.
• Strong background in GPU architecture and virtualization in Graphics and Display (OpenGL, OpenGL ES, Vulkan, Metal).
• In-depth knowledge of computer architectures, software virtualization, and simulation strategies.
• Solid understanding of Linux / Android and Real-time operating systems and emulation software technologies.
• Experience in HW & SW stack bring-up using Simulators & Emulators.
• Familiar with x86 and ARM class platforms.
• Excellent communication skills, and technical writing proficiency.
• Organized mindset, and passionate about delivering high-quality software.

• Android / QNX emulator or simulator architecture and development.
• Experience in automotive platforms is a plus.

• Exposure to cloud computing, databases, and logging techniques is a plus.
• Familiar with microkernel architecture, Linux kernel, hypervisor, middleware, and application framework.