This role pays less than
86%
of similar roles. Most pay
$152,150–$235,750
— the shaded band above.
At the midpoint, this role pays about
$124k
versus about
$194k
for comparable roles.
Based on 240 similar postings.
Employer
About Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has
623 open roles
on FindRole.
Listed pay typically runs
$148,300–$222,500
across 603 roles with salary data.
The GPU Software Engineer joins the Graphics Software Engineering team to architect, design, implement, verify, and optimize the structure and performance of GPU hardware, drivers, features, applications, and tools. This role involves writing code for well-defined features, drivers, and APIs while maintaining comprehensive pre- and post-silicon tests to verify performance. The engineer will identify design deficiencies, develop solutions for improvement, and create detailed design documentation and feature descriptions. Candidates must possess a degree in a relevant field such as Computer Science or Electrical Engineering and demonstrate proficiency in programming languages suitable for graphics, specifically C, C++, Perl, or Python. The work focuses on the technical challenges of optimizing GPU performance and functionality to support advanced gaming, XR, and AI experiences through collaborative cross-functional engineering efforts.
Architect, design, implement, and verify the structure and performance of GPU hardware, drivers, features, applications, and tools.
Write code for well-defined features, drivers, and APIs using languages such as C, C++, Perl, or Python.
Maintain comprehensive pre- and post-silicon tests to verify component performance.
Identify design deficiencies and develop solutions to improve overall system performance.
Analyze new features and functionality to ensure alignment with project goals for implementation and customization.
Create detailed design documentation and feature descriptions for various projects.
What we're looking for
Bachelor's degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or a related field.
Master's degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or a related field is preferred.
Knowledge of one or more programming languages suitable for graphics, such as C++ or C.
Ability to write code for features, drivers, and APIs using languages like C, C++, Perl, or Python.
LabVIEW
C++
Python
National Instruments
cDAQ
cRIO
PXI
Data Acquisition
Distributed Systems
Network Communication
Unit Testing
Performance Optimization
Debugging