GPU Software Engineer (AI)

Location: On-site in Folsom, California, United States

Annual salary: $111,030–$211,200 USD

Company

Intel's graphics software organization develops GPU technologies for gaming, content creation, media, and AI experiences.

What you will do

• Develop and execute end-to-end validation for GPU software, graphics drivers, applications, compute runtimes, and AI framework integrations.
• Debug software, driver, and system-level issues; triage defects, identify root causes, and drive resolutions with software and hardware teams.
• Build and maintain automation tools, benchmarking suites, debugging utilities, and validation frameworks.
• Analyze cross-component quality, performance, compatibility, and memory-efficiency issues across GPU hardware and software.
• Validate AI features and hardware acceleration capabilities for deep learning inference and agentic applications.
• Collaborate on cross-OS development and validation for GPU-accelerated AI and machine learning workloads.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field with 3+ years of relevant experience, or a master's degree with 1+ years of relevant experience.
• Software development experience with C, C++, or Python.
• Experience with AI validation workloads, including LLM inference evaluation and agentic framework integration.
• Hands-on experience with PyTorch, OpenVINO, ONNX Runtime, or TensorFlow.
• Experience with DirectX, OpenGL, OpenCL, or Vulkan.
• Ability to work on-site in Folsom, California, United States.

Nice to have

• Experience validating, triaging, or debugging computer graphics hardware and software.
• GPU compute optimization experience, including operator fusion, KV-cache optimization, or low-bit quantization.
• Familiarity with WinDbg, GPUView, GDB, Intel VTune, emulators, or JTAG debuggers.
• Experience with CI/CD, automated validation frameworks, and containerized cross-platform testing.

Culture & Benefits

• Cross-functional collaboration across software, hardware, validation, and architecture teams.
• Health, retirement, and vacation benefits.
• Competitive pay and stock bonuses.
• Work focused on next-generation GPU computing and AI acceleration.