Senior GPU Verification Architect — Testbenches & Strategy

Imagination Technologies Limited; West of England; On-site; GBP 70,000 - 90,000; Full time

Job summary

Imagination Technologies Limited is seeking a hardware verification expert to shape the verification strategy for PowerVR GPUs. You will architect scalable testbenches, define testbench environments, and lead senior engineers in developing robust verification for next-generation IP.

You will collaborate across teams, review specifications, and continuously improve verification tooling, methodologies and productivity using Python, SystemVerilog, UVM, and ML-assisted approaches.

Qualifications

• Deep expertise in architecting complex testbenches.
• Proven track record building verification environments from scratch.
• Strong knowledge of constrained-random verification and reusable components.
• Expertise in root-cause analysis of complex issues.
• Excellent knowledge of SystemVerilog and UVM.
• Strong technical leadership and mentoring skills.
• Ability to drive ideas and adoption across teams.

Responsibilities

• Architect advanced scalable verification environments for GPU subsystems.
• Review design specifications with leads and architects.
• Solve complex verification problems in advanced GPU architectures.
• Lead verification strategy and methodologies for next-gen products.
• Write comprehensive test plans and develop testbench components.
• Evaluate and integrate new tools and ML applications in verification.

Skills

Testbench architecture

Constrained-random verification

Root-cause analysis

SystemVerilog

UVM

Leadership mentoring

Python

SystemC

C++

Job description

Imagination Technologies Limited is seeking a hardware verification expert to shape the verification strategy for PowerVR GPUs. You will architect scalable testbenches, define testbench environments, and lead senior engineers in developing robust verification for next-generation IP.

You will collaborate across teams, review specifications, and continuously improve verification tooling, methodologies and productivity using Python, SystemVerilog, UVM, and ML-assisted approaches.