GPU Validation Engineer

Intel•Folsom, CA

8h•Hybrid

About The Position

As a GPU Validation Engineer, you will help ensure the reliability and performance of Intel GPUs by defining and executing validation methodologies, debugging issues, and optimizing GPU features. You will contribute to validation infrastructure and help deliver products that meet performance, power, and quality standards. The role is part of Intel's Data Center Group, which develops GPU solutions for applications including gaming, AI, and high-performance computing, and supports graphics architectures across desktop, mobile, server, and edge environments. This position uses a hybrid work model, splitting time between an assigned Intel site and off-site work. The primary location is Folsom, California; additional locations are Phoenix, Santa Clara, Hillsboro, and Austin. The annual target compensation range for US locations is $122,440–$232,190. Individual pay is determined by work location and factors such as job-related skills, experience, and education or training. Intel describes its total rewards package as including competitive pay, stock bonuses, and health, retirement, and vacation benefits; details are available through Intel Benefits.

Requirements

Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field and 4 or more years of industry experience, or a master's degree in a relevant field and 3 or more years of experience.
4 or more years of experience in pre-silicon validation techniques, tools, and debugging.
4 or more years of experience in C, C++, Python, and scripting for automation and validation tasks.
4 or more years of experience with computer architecture and microarchitecture fundamentals.
4 or more years of experience with emulation.

Nice To Haves

Familiarity with PCIe standards and compliance processes.
Knowledge of GPU architecture.
Experience with FPGA prototyping or acceleration platforms.
Experience developing validation protocols and strategies.
Experience with hardware debug tools such as logic analyzers, oscilloscopes, and in-circuit emulators.
Exposure to Design for Debug (DFD) tools and methodologies.
Familiarity with GPU artificial intelligence benchmarks, rendering concepts, and industry-standard APIs.
Strong communication and collaboration skills with cross-functional teams.
Experience with ZeBu or Palladium emulation is preferred.

Responsibilities

Define, develop, and execute GPU validation methodologies focused on interactions among media, display, and system-level features.
Build and test GPU emulation and prototyping models.
Perform silicon debug to identify root causes and resolve functional and triage failures related to GPUs.
Develop and maintain post-silicon validation infrastructure, including performance monitors, behavioral checkers, and test environments.
Conduct validation testing to ensure performance, power, and area goals are met using hardware and software tools.
Review design changes and assess their impact on validation plans, timelines, and tasks.
Test interactions between GPU features using validation tools and infrastructure.
Collaborate with architecture, design, board, platform, and manufacturing teams to optimize validation methodologies.
Publish GPU validation reports, summarize results, and communicate findings to relevant teams.