GPU Chief Architect: Lead Converged AI/XPU SoC Design

GPU Chief Architect: Lead Converged AI/XPU SoC Design

Full-Time 90000 - 120000 Β£ / year (est.) No working from home possible
MBR Partners

At a Glance

  • Tasks: Lead the design of next-gen mobile GPU architecture and optimise performance.
  • Company: MBR Partners, a leader in cutting-edge technology based in Cambridge.
  • Benefits: Competitive salary, innovative projects, and a dynamic work environment.
  • Other info: Collaborative culture with opportunities for professional growth.
  • Why this job: Shape the future of AI and GPU technology in a world-class team.
  • Qualifications: 15+ years in GPU architecture and expertise in AI acceleration.

The predicted salary is between 90000 - 120000 Β£ per year.

MBR Partners is seeking a GPU Chief Architect for their Cambridge office to lead the next-generation mobile GPU architecture in the Kirin SOC. The ideal candidate will have over 15 years of experience in GPU architecture and AI acceleration techniques. You will lead the design efforts for a converged architecture optimized for performance and power efficiency, collaborating with various teams to deliver cutting-edge solutions in a world-class technology environment.

GPU Chief Architect: Lead Converged AI/XPU SoC Design employer: MBR Partners

At MBR Partners, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in our Cambridge office. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work on groundbreaking projects in GPU architecture, making a meaningful impact in the tech industry. Join us to be part of a forward-thinking team where your expertise will be valued and your contributions will shape the future of mobile technology.

MBR Partners

Contact Details:

MBR Partners Recruitment Team

We think you need these skills to ace GPU Chief Architect: Lead Converged AI/XPU SoC Design

GPU Architecture
AI Acceleration Techniques
SoC Design
Performance Optimisation
Power Efficiency
Team Collaboration
Cutting-Edge Solutions