GPU Machine Learning Engineer – Graphics Software Engineering
| Company | Qualcomm |
|---|---|
| Location | San Diego, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s |
| Experience Level | Junior |
Requirements
- Master’s Degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field
- 1+ year of relevant GPU experience
Responsibilities
- Applies Graphics knowledge to assist in the architect, design, implementation, and verification of the structure and performance of GPU hardware, drivers, features, applications, and tools
- Writes code for well-defined features, drivers, and APIs using different languages (e.g., C, C++, perl, python)
- Maintains comprehensive pre- and post-silicon tests using tools and methods for a specific, well-defined component to verify performance
- Assists in identifying deficiencies in designs and works with team members to develop solutions to improve designs
- Collaborates with team members to understand new features and functionality that align with needs and goals for implementation and customization
- Writes detailed design documentation and feature descriptions for projects
Preferred Qualifications
- Master’s Degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field
- 1+ year of relevant GPU experience