GPU Validation & Emulation Engineer for Performance & Power

Qualcomm Incorporated

Cambridge

On-site

GBP 70,000 - 110,000

Full time

10 days ago
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Job summary

Qualcomm Technologies International Ltd in Cambridge is seeking a GPU Engineer to architect, design, verify, and optimize GPU cores for power and performance. You will collaborate with cross-functional teams and external partners to deliver high-quality GPU solutions.

The role involves developing drivers and compiler software, creating models and tests, and producing detailed technical documentation for GPU projects.

Qualifications

  • Bachelor's degree and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
  • Master's degree and 1+ year of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
  • PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.

Responsibilities

  • Applies GPU knowledge to architect, design, implement, verify, and/or optimize performance and power of GPU cores.
  • Builds functional model simulations, develops software, and tests for graphics to verify correctness and ensure performance and power goals.
  • Programs and runs graphics tests using tools and methods to assess functionality, performance, and power and identify issues.
  • Collaborates with teams, vendors, and external users to guide implementation and align with needs.
  • Develops driver and compiler software to support GPU products.
  • Writes detailed technical documentation and feature descriptions for GPU projects.

Education

Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field

Job description

Qualcomm Technologies International Ltd in Cambridge is seeking a GPU Engineer to architect, design, verify, and optimize GPU cores for power and performance. You will collaborate with cross-functional teams and external partners to deliver high-quality GPU solutions.

The role involves developing drivers and compiler software, creating models and tests, and producing detailed technical documentation for GPU projects.

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