GPU Software Engineer

Intel Corporation•Folsom, CA

1d•$111,030 - $211,200•Onsite

About The Position

Join Intel's graphics software team and help deliver high-quality GPU experiences in AI domain. As a GPU Software Engineer, you will develop, validate, debug, and optimize graphics software and GPU driver solutions across Intel platforms. You will work at the intersection of software and hardware, partnering with engineering teams to bring new graphics capabilities to market and solve complex system-level issues. This is an opportunity to develop hands-on expertise across GPU architecture, graphics drivers, validation, debugging, performance, compute, and AI workloads.

Requirements

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 Haves

Experience with validation, triage, or debugging computer graphics hardware and software.
Proven 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.
Strong collaboration skills and passion for staying updated on emerging AI algorithms and hardware acceleration technologies.

Responsibilities

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.
Analyze cross-component interactions and identify potential quality, performance, and compatibility issues.
Perform validation, triage, and debugging of GPU compute drivers, runtime layers, and AI framework integration failures across software and hardware teams.
Integrate latest AI features into end-to-end validation flows and analyze cross-component interactions to develop robust test scenarios.
Develop and maintain automation tools, benchmarking suites, and frameworks to improve validation and debug efficiency across AI compute and runtime components.
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.
Collaborate on cross-OS software development and validation for GPU-accelerated AI and machine learning workloads.