Lead GPU Architect & Performance Innovator in Cambridge

Lead GPU Architect & Performance Innovator in Cambridge

Cambridge Full-Time 70000 - 90000 £ / year (est.) No working from home possible
MediaTek Research Lab Inc.

At a Glance

  • Tasks: Define and develop GPU architecture and performance models for next-gen MediaTek SoCs.
  • Company: Join MediaTek Research Lab in Cambridge, a leader in innovative technology.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Dynamic team environment with exciting challenges and career advancement.
  • Why this job: Be at the forefront of GPU innovation and make a significant impact.
  • Qualifications: Bachelor’s in Computer Science or related field; strong performance analysis skills.

The predicted salary is between 70000 - 90000 £ per year.

MediaTek Research Lab Inc. in Cambridge is seeking a talented engineer to define and develop GPU architecture and performance models for next-generation MediaTek SoCs. This role involves building performance models of GPU subsystems and analyzing workloads to identify optimization opportunities.

Ideal candidates will have a Bachelor’s or higher in Computer Science or a related field, along with strong skills in performance analysis and familiarity with GPU APIs like Vulkan and OpenGL.

Lead GPU Architect & Performance Innovator in Cambridge employer: MediaTek Research Lab Inc.

MediaTek Research Lab Inc. is an exceptional employer that fosters innovation and collaboration in the heart of Cambourne, UK. With a strong commitment to employee growth, we offer extensive training opportunities and a dynamic work culture that encourages creativity and problem-solving. Join us to be part of a pioneering team dedicated to advancing GPU technologies and making a significant impact in the semiconductor industry.

MediaTek Research Lab Inc.

Contact Details:

MediaTek Research Lab Inc. Recruitment Team

We think you need these skills to ace Lead GPU Architect & Performance Innovator in Cambridge

GPU Architecture
Performance Modelling
Performance Analysis
Vulkan
OpenGL
Workload Analysis
Optimization Techniques