Senior System Debug Engineer

Job Title

Senior System Debug Engineer

Role Summary

Join Intel's Data Center Group (DCG) AI team as a Senior System Debug Engineer responsible for driving end-to-end debug, root-cause analysis, and resolution of complex hardware-software platform issues for AI GPU systems.

The role coordinates across silicon, firmware, software, and customer teams to close bugs, define SLAs for bug lifecycles, improve bring-up and validation processes, and deliver scalable, high-performance AI solutions.

Experience Level

Senior. See Education Requirements for specific years-of-experience guidance related to degree level.

Responsibilities

Primary responsibilities include ownership of platform-level debug and program execution for AI/GPU systems.

• Lead root-cause analysis, issue isolation, and disposition for multidisciplinary platform issues.
• Own the end-to-end bug lifecycle: tracking, accountability, communication, and timely closure.
• Define and enforce SLAs for bug resolution with ingredient owners; monitor and address deviations.
• Coordinate across design, validation, firmware, software, and customer-facing teams to resolve system issues.
• Manage customer escalations: provide timely analysis, clear updates, and technically sound solutions under pressure.
• Lead and mentor debug taskforces; drive critical technical decisions and maintain debug quality and process discipline.
• Identify and implement automation opportunities to improve program execution and validation efficiency.

Requirements

Must-have technical skills and experience for the role.

• Extensive experience diagnosing and resolving Linux kernel and system-level issues; strong familiarity with Linux internals and user-/kernel-space debugging.
• Proven ability to isolate and resolve complex hardware-software interaction issues across multiple components.
• Deep knowledge of RAS, power management, PCIe, performance, security, Ethernet, HBM, and GPU subsystems; proficient with logs, traces, instrumentation, and debug tools used in system bring-up and validation.
• Strong programming skills in Python, C, and C++.
• Solid understanding of GPU architecture, memory hierarchy, performance bottlenecks, and GPU debug methodologies.
• Excellent written and verbal communication skills and ability to collaborate cross-functionally.

Nice-to-have:

• Familiarity with machine learning frameworks such as PyTorch or TensorFlow.
• Experience deploying, debugging, and troubleshooting AI/ML models.
• Knowledge of Intel and ARM platform architectures and associated debug tools.

Education Requirements

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field is specified. Experience mapping: minimum 8+ years industry experience with a Bachelor's degree; 7+ years with a Master's degree; 6+ years with a PhD.

About the Company

Company: Intel Corporation

Headquarters: Santa Clara, California, USA

Intel Corporation is a leading multinational technology company known for its innovative semiconductor solutions, including microprocessors, artificial intelligence accelerators, and memory products. Headquartered in the United States, Intel focuses on cutting-edge technology and a collaborative working environment, driving advancements in semiconductor manufacturing to meet global demands. The company emphasizes professional development and aims to shape the future of technology through groundbreaking designs.