GPU Software Engineer - California, Folsom, United States
$111,030 - $211,200 USD yearly
Originally posted 8 October 2026 by the employer.
Work on GPU experiences in the AI domain.
About the role
As a GPU Software Engineer, you will develop, validate, debug, and optimize graphics software and GPU driver solutions across Intel platforms. You will develop hands-on expertise across GPU architecture, graphics drivers, validation, debugging, performance, compute, and AI workloads.
What you'll do
- Develop and execute end-to-end validation solutions for GPU software, graphics drivers, and applications.
- Debug and resolve complex software, driver, and system-level issues impacting GPU functionality, quality, and performance.
- Triage defects, perform root-cause analysis, and collaborate with software and hardware engineering teams to drive issues to resolution.
- Develop and maintain software, automation, and debugging tools that improve validation efficiency and product quality.
- Optimize software performance, memory efficiency, and quality for emerging AI workloads, deep learning inference, and agentic applications.
- Enable and validate forthcoming AI hardware acceleration capabilities for Intel's GPU platforms.
What you'll need
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field with 3+ years of relevant experience; OR Master's degree in the field with 1+ years of relevant experience.
- Software development using C, C++, or Python.
- Experience with AI validation workloads such as LLM inference evaluation and agentic framework integration.
- Hands-on experience with machine learning frameworks and runtimes such as PyTorch, OpenVINO, ONNX Runtime, or TensorFlow.
- Experience with industry-standard APIs and frameworks such as DirectX, OpenGL, OpenCL, or Vulkan.
Nice to have
- Experience with validation, triage, or debugging computer graphics hardware and software.
- Expertise in optimizing GPU compute software for throughput and latency (e.g., operator fusion, KV-cache optimization, low-bit quantization like INT4/INT8/FP8).
- Familiarity with cross-OS profiling and debug tools such as WinDbg, GPUView, GDB, Intel VTune, emulators, or JTAG-debuggers.
- Experience with CI/CD practices, automated validation frameworks, and containerized cross-platform testing environments.
Skills: GPU software, graphics drivers, AI workloads, validation, debugging
This role has been open 0 days — well below the 56-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · GPU Software Stack
|
Open roles in category
238
|
Median days open
56 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Intel Corporation | All employers we track in this specialty (238 roles · 19 employers) |
|---|---|---|
| Open roles in this specialty | 15 | 238 |
| Open roles in the wider Software, Firmware & Systems family | 191 | 6085 · 146 employers |
| Median days open | 1 d | 56 d (−55 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: GPU software, graphics drivers, AI workloads, validation, debugging
Who's hiring in this category
- NVIDIA · 124 open roles · median 51 d
- AMD · 56 open roles · median 58 d
- Qualcomm · 19 open roles · median 168 d
- Intel Corporation (this employer) · 15 open roles · median 1 d
- Arm Holdings · 5 open roles · median 106 d
- d-Matrix · 2 open roles · median 114 d
How we counted: 238 open Infrastructure/Platform Software (GPU Software Stack) roles from 19 employers tracked in the SemiconductorJobs index, counted 9 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.