GPU Performance Engineer: Optimize Core Power and Speed

QUALCOMM, Inc.; San Diego (CA); On-site; USD 141,000 - 212,000; Full time

Job summary

Qualcomm Technologies, Inc. is seeking a GPU Engineer to architect, design, verify, and optimize GPU cores, contributing to leading-edge graphics technologies.

The role involves collaborating with cross-functional teams to meet performance and power targets and to deliver efficient software, drivers, and compiler components. The position requires a degree in Computer Engineering, Computer Science, or Electrical Engineering, with 1–2+ years of related work, and may involve state-of-the-art GPU

Qualifications

• Bachelor's degree in Computer Engineering, Computer Science, or Electrical Engineering with 2+ years in related work.
• Master's degree with 1+ year experience or PhD in related field.
• Preferred: 2+ years of GPU experience.

Responsibilities

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

Skills

GPU knowledge

Cross-functional collaboration

Software/Hardware engineering

Performance optimization

Education

Bachelor's degree in Computer Engineering, Computer Science, or Electrical Engineering

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

PhD in Computer Engineering, Computer Science, or Electrical Engineering

Job description

Qualcomm Technologies, Inc. is seeking a GPU Engineer to architect, design, verify, and optimize GPU cores, contributing to leading-edge graphics technologies.

The role involves collaborating with cross-functional teams to meet performance and power targets and to deliver efficient software, drivers, and compiler components. The position requires a degree in Computer Engineering, Computer Science, or Electrical Engineering, with 1–2+ years of related work, and may involve state-of-the-art GPU