GPU HW Micro-Architecture Engineer

Role and Responsibilities

• Responsible for GPU cluster uArch specification, PPA (power, performance and area) optimization for industry-leading GPU hardware IP
• Collaborate with Arch/Model/SW team, develop cluster level HW specification that meets feature functionality and PPA metrics
• Collaborate with Arch/SW/Design team to identify and solve performance bottlenecks, power/area inefficiency issues
• Guide IP design process all the way from RTL coding, verification to tape out and post-silicon debug
• Proficiently use AI agent and tools to improve RTL coding, function debug and PPA analysis productivity
• Execute & deliver to meet milestones/schedules.
• Analyze and debug code pre-silicon and post-silicon issues.
• Analyze and influence future GPU architectures.
• Construct reliable & trustable relationships across teams internally & externally.
• Delivering best in class GPU IP for mobile, automotive, laptop and ASIC applications.

Main Requirements and Qualifications

• Requirement
• MS or PhD degree or equivalent in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• 6+ years of working experience on RTL design, micro-architecture, and architecture for GPU/Graphics domains
• OR 8+ years of working experience on RTL design, micro-architecture, and architecture for Multimedia (video, camera, image processing, etc.), neural network accelerators, matrix computation, CPUs, or cache systems.
• OR 10+ years of working experience on RTL design, micro-architecture, architecture, and modeling for a variety of digital circuits.
• Hands-on experience on SystemVerilog/VHDL/C/C++ and scripting programming.
• Hands-on knowledge/experience on SoC architecture, performance tuning, area/power optimization flow.
• Excellent interpersonal skills including both verbal and written communication
• Strong leadership, self-driven, team player
• Strong problem solving, root causing and debugging skills.
• Fluent English communication skills (both spoken and written) to collaborate effectively with international teams.
• Able to work in a dynamic and fast changing environment
• Preferred skills:
• -Knowledge/experience on GPU pipeline (Shader, Texture, Geometry, Pixel, Raytracing, Memory etc.) and GPU architecture.
• -Knowledge/experience on computer architecture, parallel computing or cache system.
• -Knowledge/experience on D3D, Vulkan/OpenGL, OpenCL APIs.
• -Knowledge/experience on floating point data processing.
• -Proven track record in performance tuning and area/power optimization
• -Experience collaborating with worldwide, cross-functional engineering teams.