GPU System Validation Engineer

Qualcomm • San Diego, CA

4d

About The Position

Are you interested in exploring how top of the line GPU's work? Qualcomm’s GPU PSE (Post-Silicon Engineering) team is a part of the Adreno GPU HW Development organization and is responsible for the overall quality of the Graphics IP in silicon. As a member of our GPU PSE team, you will be working closely with GPU architects, designers, verification and graphics software driver engineers to help validate and productize the next generation graphics core for mobile devices. In this position, you will be responsible for improving our post-silicon validation coverage and test methodologies as well as creating GPU bring-up test-plans that validate both electrical and functional features within the GPU. Providing debug analysis, support and solutions for silicon issues that range from the internal level to OEM level. We are looking for highly motivated and creative engineers that enjoy working in a fast-paced, dynamic, environment with minimal guidance. Candidates must have extremely strong communication and teamwork skills and approach difficult challenges as learning opportunities.
Qualcomm’s GPU PSE (Post-Silicon Engineering) team is a part of the Adreno GPU HW Development organization and is responsible for the overall quality of the Graphics IP in silicon. As a member of our GPU PSE team, you will be working closely with GPU architects, designers, verification and graphics software driver engineers to help validate and productize the next generation graphics core for mobile devices. In this position, you will be responsible for improving our post-silicon validation coverage and test methodologies as well as creating GPU bring-up test-plans that validate both electrical and functional features within the GPU. Providing debug analysis, support and solutions for silicon issues that range from the internal level to OEM level. We are looking for highly motivated and creative engineers that enjoy working in a fast-paced, dynamic, environment with minimal guidance. Candidates must have extremely strong communication and teamwork skills and approach difficult challenges as learning opportunities.

Requirements

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field.

Nice To Haves

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

Responsibilities

• Applies GPU knowledge to assist in the architecture, design, implementation, verification, and/or optimization of the performance and power of GPU cores.
• Assists in building functional model simulations, developing software, and testing for various graphics to verify correctness.
• Programs and runs graphics tests using tools and methods to assess functionality, performance, and power.
• Collaborates with team members to guide implementation and ensure alignment with needs and goals.
• Assists in the development of driver and compiler software to support GPU products.
• Writes technical documentation and feature descriptions for GPU projects.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees