Chief GPU Architect & XPU Lab Director

MRL Consulting Group Ltd.

Cambridgeshire and Peterborough

On-site

GBP 120,000 - 180,000

Full time

14 days+
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Job summary

MRL Consulting Group Ltd. is seeking an accomplished GPU Chief Architect / XPU Lab Director to lead next-generation mobile GPU and AI compute architectures. You will drive from concept to tape-out, shaping high-performance, power-aware silicon and software.

The role requires leadership across CPU, AI software and system teams, with deep expertise in GPU microarchitecture and heterogeneous compute.

Qualifications

  • 15+ years’ experience in GPU, AI accelerator or heterogeneous compute architecture.
  • Deep knowledge of GPU microarchitecture, including SIMD/SIMT, scheduling and memory systems.
  • Strong understanding of AI acceleration and tensor/matrix processing.
  • Proven experience delivering high-volume silicon.
  • Expertise in performance modelling, power analysis and system-level architecture.
  • Strong technical leadership and cross-functional communication skills.

Responsibilities

  • Define GPU/NPU architectures optimised for performance, power and silicon area.
  • Analyse graphics and AI workloads and develop future-focused hardware and software architectures.
  • Lead GPU microarchitecture, including execution pipelines, scheduling, cache and memory systems.
  • Optimise on-chip interconnect and resource sharing for heterogeneous workloads.
  • Collaborate with CPU, AI software and system architecture teams.
  • Drive architecture from concept through to tape-out and support silicon bring-up.

Skills

GPU Architecture
AI Accelerator
Heterogeneous Compute
SIMD/SIMT
Scheduling
Memory Systems
Tensor Processing
System Architecture
Performance Modelling
Power Analysis
Technical Leadership
Cross-functional Leadership

Job description

MRL Consulting Group Ltd. is seeking an accomplished GPU Chief Architect / XPU Lab Director to lead next-generation mobile GPU and AI compute architectures. You will drive from concept to tape-out, shaping high-performance, power-aware silicon and software.

The role requires leadership across CPU, AI software and system teams, with deep expertise in GPU microarchitecture and heterogeneous compute.

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