Lead GPU Architect for Next-Gen AI and SoC GPUs in Cambridge

Lead GPU Architect for Next-Gen AI and SoC GPUs in Cambridge

Cambridge Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
European Tech Recruit

At a Glance

  • Tasks: Define and optimise next-gen GPU architectures for cutting-edge AI and SoC applications.
  • Company: Join a leading semiconductor company at the forefront of technology.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Exciting projects with potential for significant career advancement.
  • Why this job: Be a key player in shaping the future of GPU technology and AI.
  • Qualifications: Experience in GPU architecture and strong collaboration skills required.

The predicted salary is between 80000 - 100000 Β£ per year.

European Tech Recruit is partnering with a semiconductor leader to hire a Senior GPU Architect. The role focuses on defining and optimising next-generation GPU architectures, performance models, and hardware/software co-design strategies for industry-leading performance, power efficiency, and scalability.

The successful candidate will develop cycle-accurate models for GPU subsystems, evaluate PPA trade-offs, and work closely with RTL, verification, driver, compiler, and performance teams.

Lead GPU Architect for Next-Gen AI and SoC GPUs in Cambridge employer: European Tech Recruit

Join a leading global technology organisation in Edinburgh, where innovation meets collaboration. As an AI Engineer, you'll be part of a dynamic research and development team dedicated to pushing the boundaries of multimodal AI and edge computing. Enjoy a supportive work culture that fosters professional growth, offers competitive benefits, and provides unique opportunities to work on groundbreaking projects that shape the future of intelligent mapping and spatial reasoning systems.

European Tech Recruit

Contact Details:

European Tech Recruit Recruitment Team

We think you need these skills to ace Lead GPU Architect for Next-Gen AI and SoC GPUs in Cambridge

GPU Architecture Design
Performance Modelling
Hardware/Software Co-Design
Power Efficiency Optimisation
Scalability Strategies
Cycle-Accurate Modelling
PPA Trade-Off Evaluation