Senior AI Solution Architect

Job Title

Senior AI Solution Architect

Role Summary

Design, integrate, validate, and optimize AI accelerator systems and cloud infrastructure for large-scale machine-learning workloads. Work cross-functionally with hardware, firmware, software, and OEM vendors to ensure platform readiness and production stability.

This position requires on-site presence in Hillsboro, OR.

Experience Level

Senior-level. The posting specifies multi-year experience expectations (see Education Requirements and Requirements sections for details).

Responsibilities

Primary responsibilities include:

• Design and optimize AI accelerator systems (e.g., Gaudi, GPU clusters) for production ML workloads.
• Debug complex PCIe, memory subsystem, and interconnect issues in AI clusters.
• Lead platform bring-up, integration, and validation for next-generation AI hardware.
• Develop comprehensive test plans, automated testing frameworks, and monitoring solutions.
• Create diagnostic tools and APIs for system health monitoring and visibility.
• Collaborate with OEM vendors on BMC firmware integration and system stability.
• Perform full-stack debugging across hardware, firmware, and software layers.
• Mentor junior engineers and lead cross-functional teams on technical decisions and architectural improvements.

Requirements

Must-have technical skills and experience.

• 5+ years in system engineering, platform validation, or related roles.
• 3+ years bringing up and debugging high-performance AI clusters and resolving production system-level issues.
• Experience with AI cluster design, validation, and production deployment.
• Expert-level Python; experience with Linux/Unix administration, Docker, and shell scripting.
• Experience with AI/ML frameworks (PyTorch, TensorFlow, vLLM) and distributed tools (OpenMPI).
• Deep understanding of PCIe, memory subsystems, interconnects, and AI accelerators.
• Familiarity with Redfish, IPMI, and BMC management for platform manageability.
• Strong cross-functional collaboration, leadership, and mentoring experience.

Nice-to-have:

• Experience with Intel platforms (Xeon, Gaudi) or similar GPU/AI accelerators.
• Familiarity with cloud deployment and containerization.
• Background in computer architecture or microprocessor design.

Education Requirements

Degree in Computer Science, Electrical Engineering, or a related technical field is specified. The posting lists: Bachelor's (with 6+ years relevant experience), Master's (with 4+ years), or PhD (with 2+ years). Equivalent practical experience is acceptable.

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.