GPU/XPU Lab Director | MRL Consulting

MRL Consulting Group Ltd.; Cambridgeshire and Peterborough; On-site; GBP 120,000 - 180,000; Full time

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

GPU Chief Architect / XPU Lab Director

We are recruiting on behalf of a leading global technology organisation for a Principal GPU Architect to lead the development of next-generation mobile GPU and AI compute architectures.

Key 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.

Key Requirements

• 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.