Senior/Staff GPU Architect – GPU Architecture / Performance Modelling / Graphics Systems / AI A[…]

Company: European Tech Recruit
Apply for the Senior/Staff GPU Architect – GPU Architecture / Performance Modelling / Graphics Systems / AI A[…]
Location: Cambridge
Job Description:

Senior GPU Architect – GPU Architecture / Performance Modelling / Graphics Systems / AI Accelerators

We are currently partnered with an innovative semiconductor company developing next-generation GPU IP for mobile, AI, automotive, consumer electronics, and high-performance computing platforms. As part of a growing GPU Architecture team, they are looking to hire Senior GPU Architects to define and optimise next-generation GPU architectures, performance models, and hardware/software co-design strategies that deliver industry-leading performance, power efficiency, and scalability.

Key responsibilities

  • Define and develop next-generation GPU architectures for advanced SoC platforms
  • Build and maintain performance, functional, and cycle-accurate models for GPU subsystems including shader cores, memory hierarchies, interconnects, and fixed-function units
  • Evaluate architectural trade-offs across performance, power, and area (PPA) to guide microarchitecture decisions
  • Analyse graphics, gaming, AI/ML, and GPU compute workloads to identify performance bottlenecks and optimisation opportunities
  • Collaborate closely with RTL, Design Verification, Driver, Compiler, and Performance teams to ensure architectural intent is successfully implemented

Key requirements

  • Strong commercial experience in GPU architecture, graphics processors, AI accelerators, or high-performance computing architectures
  • Experience developing performance models, cycle-accurate simulators, or architectural exploration frameworks
  • Strong understanding of GPU architectures, graphics pipelines, memory hierarchies, interconnects, and parallel processing concepts
  • Experience analysing graphics, gaming, AI, or GPU compute workloads
  • Mobile GPU architecture and low-power design
  • GPU compiler, driver, or runtime optimisation
  • AI/ML workloads and GPU acceleration

By applying to this role, you understand that we may collect your personal data and process it in line with our privacy policy.

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Posted: July 20th, 2026