Cloud Peritus

GPU(Graphics processing) Software Engineer

Posted 9 Days Ago

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Pleasanton, CA

Senior level

Information Technology • Sales

The Role

The GPU Software Engineer is responsible for designing and developing software for GPU hardware and virtualization technologies. They will build complex software systems, requiring strong knowledge of GPU architectures, virtualization, and OS emulation. They should have a history of delivering high-quality solutions and excellent technical communication skills.

Summary Generated by Built In

Company Description

Cloud Peritus is committed to delivering value-based outcomes and superior experiences to our clients. Our highly passionate and motivated practitioners bring in years of Salesforce and digital transformation expertise to help deliver solutions to some of the most complex business problems our clients’ have.

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Job Description

3+ years of experience in software architecture design and

development for GPU hardware and software-level virtualization technologies.

· 7+ 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.

Preferred Qualification:

· Expertise in QEMU / Android / QNX emulator or simulator architecture and development.

· Expertise in GPU VM driver software architecture and development in virtualized environments (e.g. QEMU, KVM, VMware, VirtualBox, Xen).

· 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.

Additional Information

All your information will be kept confidential according to EEO guidelines.