GPU Architect​/Designer

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.

• 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:
• AI / ML kernels
• High-performance parallel workloads
• Drive performance-per-watt and area efficiency improvements.

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

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

• 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.

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

• Electrical Engineering
• Computer Science

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

Strong experience with:

• Memory hierarchy design

Proficiency in:

• System Verilog or Verilog