GPU Architect/Designer

GPU Architecture/Design (Shader / SIMT)

Job Summary

We are seeking an experienced GPU Architect/Designer with strong expertise in shader core architecture and SIMT (Single Instruction Multiple Threads) execution models. This role involves defining next-generation GPU microarchitecture, optimizing throughput and efficiency, and driving scalable, high-performance parallel compute solutions.

The ideal candidate will have deep knowledge of GPU shader pipelines, thread scheduling, memory hierarchy, and parallel execution models, with experience translating architectural concepts into high-quality RTL implementations.

Key Responsibilities

Architecture & Microarchitecture

• Define and evolve GPU shader core architecture, including SIMT execution units and pipeline design.
• Design warp/wavefront scheduling, thread dispatch, and execution models.
• Architect SIMT execution pipelines, including ALU pipelines, vector units, and control flow units.
• Define thread divergence handling, reconvergence strategies, and branch control mechanisms.
• Develop scalable shader architectures supporting high thread-level parallelism.
• Collaborate on ISA definitions related to shader and compute workloads.
• Analyze shader workloads and identify performance bottlenecks.
• Optimize GPU execution efficiency across diverse workloads including:
• Compute shaders
• AI / ML kernels
• High-performance parallel workloads
• Drive performance-per-watt and area efficiency improvements.

Memory & Interconnect

• Define GPU memory subsystem interactions including:
• Register files
• Shared/local memory
• L1/L2 cache hierarchy
• Memory coalescing mechanisms
• Optimize memory access scheduling and bandwidth utilization.
• Collaborate on interconnect and memory fabric architecture.

RTL & Design

• Translate architectural specifications into microarchitecture definitions.
• Implement shader pipeline logic in System Verilog.

Verification & Validation

• Define architectural test plans and validation strategies.
• Develop:
• Directed tests
• Constrained-random tests
• Performance validation frameworks
• Analyze simulation and silicon results to drive design improvements.

Required Qualifications

Bachelor’s, Master’s , or PhD's degree in:

• Computer Engineering
• Electrical Engineering
• Computer Science

10 years of experience in GPU, CPU, or parallel processor architecture.

Strong experience with:

• SIMT / SIMD architectures
• Shader core design
• Thread scheduling
• Pipeline microarchitecture
• Memory hierarchy design

Proficiency in:

• SystemVerilog or Verilog
• Microarchitecture specification development
• Performance modeling tools
• RTL-level debugging

Deep understanding of:

• Parallel computing models
• GPU execution models
• Pipeline hazard handling
• Synchronization primitives