GPU Software Engineer
Overview:
As a GPU Software Engineer at Intel, you will validate, debug, and optimize graphics software and GPU drivers across Intel platforms to enable advanced AI workflows. You'll collaborate with cross-functional teams to bring new graphics capabilities to market and resolve complex system-level issues. You'll work at the intersection of software and hardware, gaining hands-on expertise in GPU architectures, drivers, validation, performance, and AI workloads. This role offers the chance to shape AI-enabled graphics experiences and contribute to scalable, high-quality GPU software. Compensation / Benefitscompetitive paystock bonuseshealth benefitsretirement plansvacation
Responsibilities:
- Develop 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 drive issues to resolution with software and hardware teams
- Develop and maintain automation and debugging tools to improve validation efficiency and product quality
- Analyze cross-component interactions to identify quality, performance, and compatibility issues
- Validate GPU compute drivers, runtime layers, and AI framework integration failures across software and hardware teams
- Integrate AI features into validation flows and develop robust test scenarios
- Maintain automation tools, benchmarking suites, and frameworks to improve validation and debug efficiency across AI compute and runtime components
- Optimize software performance and memory efficiency for AI workloads and agentic applications
- Enable and validate forthcoming AI hardware acceleration capabilities for Intel GPUsCollaborate on cross-OS software development and validation for GPU-accelerated AI workloads
Key requirements:
- Bachelor's degree with 3+ years or Master's degree with 1+ years in Computer Science/Engineering or related field
- Software development experience in C, C++, or Python
- Experience with AI validation workloads (LLM inference evaluation, agentic framework integration)
- Hands-on experience with ML frameworks/runtimes (PyTorch, OpenVINO, ONNX Runtime, TensorFlow)
- Experience with industry APIs/frameworks (DirectX, OpenGL, OpenCL, Vulkan)
- Technical curiosity
Problem-solving
Proactive ownershipC, C++, PythonAI validation workloads (LLM inference, agentic integration)ML frameworks/runtimes (PyTorch, OpenVINO, ONNX Runtime, TensorFlow)