Sr. GPU Engineer – Shader System RTL Design​/Microarchitecture

We are seeking a Staff / Senior Staff GPU Engineer specializing in Shader System RTL Design and Microarchitecture to help define, design, and deliver next-generation GPU IP. The ideal candidate will have strong hands-on experience in GPU shader subsystem microarchitecture, RTL implementation, performance analysis, functional debug, and PPA optimization. In this role, you will drive the design and optimization of GPU shader systems, including shader core pipelines, thread/warp/wave scheduling, instruction dispatch and issue, execution pipelines, register files, operand collection, scoreboard and dependency management, load/store interaction, cache/memory interfaces, synchronization, and cluster-level integration.

You will collaborate closely with architecture, compiler, software driver, performance modeling, verification, physical design, and post-silicon teams to deliver best-in-class GPU IP for mobile, automotive, laptop, IoT, AI, VR/AR, and ASIC markets.

• Define, develop, and own GPU shader system microarchitecture specifications for industry-leading graphics and compute IP.
• Lead RTL design and microarchitecture development for shader-related blocks, including shader core pipelines, thread dispatch, warp/wavefront scheduling, instruction issue, operand collection, register file access, scoreboard, dependency tracking, execution control, and pipeline flow control.
• Design and optimize GPU execution resources, including SIMD/SIMT pipelines, scalar/vector execution units, special function units, load/store interfaces, synchronization mechanisms, barrier handling, and shader control logic.
• Drive shader subsystem integration with GPU front-end, geometry/tiler, raster, texture, cache, memory subsystem, command processor, firmware, and render backend blocks.
• Collaborate with GPU architecture and compiler teams to translate ISA behavior, API requirements, shader workload characteristics, and performance targets into efficient hardware specifications.
• Work closely with RTL, verification, performance modeling, physical design, software driver, compiler, and post-silicon teams to identify and resolve architectural, microarchitectural, implementation, timing, and power bottlenecks.
• Analyze GPU workloads and performance data to optimize shader occupancy, instruction throughput, latency hiding, register pressure, cache locality, memory bandwidth efficiency, workload balancing, and power efficiency.
• Drive PPA optimization across shader subsystem design, balancing power, performance, area, timing, frequency, utilization, and implementation complexity.
• Contribute to full GPU IP development lifecycle, including microarchitecture definition, RTL coding, lint/CDC/RDC cleanup, functional verification support, synthesis, timing closure, tape-out, bring-up, and post-silicon debug.
• Debug and resolve complex pre-silicon and post-silicon issues related to shader functionality, performance, power, timing, and area.
• Develop and review high-quality System Verilog RTL and microarchitecture documentation with strong emphasis on correctness, scalability, reuse, and maintainability.
• Partner with verification teams to define test plans, coverage goals, assertions, debug strategies, and directed/random test scenarios for shader subsystem validation.
• Influence future GPU architecture directions through technical analysis, shader workload studies, performance modeling, competitive benchmarking, and PPA exploration.
• Apply AI-assisted tools and automation to improve productivity in RTL development, functional debug, performance analysis, regression triage, and PPA optimization.
• Deliver high-quality technical results while meeting project milestones, schedules, and product requirements.
• Build trusted and effective working relationships across internal teams, external partners, and cross-site engineering organizations.
• Contribute to best-in-class GPU IP for mobile, automotive, laptop, IoT, AI, VR/AR, and ASIC applications.

• BS, MS, or PhD degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field, or equivalent practical…