GPU AI Solution Architect

Intel Corporation; Hillsboro (OR); Hybrid; USD 195,000 - 276,000; Full time

Benefits offered by this job

Stock bonuses

Health benefits

Retirement plan

Paid vacation

Job summary

Intel is seeking an AI Systems and Solutions Engineer to design, optimize, and support cutting-edge AI accelerator systems and cloud infrastructure for large-scale machine learning workloads.

You will perform system-level engineering, validation, and integration of next-generation AI platforms, ensuring performance and reliability for enterprise applications. Hybrid work model in the US.

Qualifications

• Bachelor's degree with 6+ years, or Master's with 4+ years, or PhD with 2+ years in CS/EE.
• 5+ years in system engineering, platform validation, or related roles.
• 3+ years bringing up and debugging high-performance AI clusters.
• 3+ years solving complex system-level issues in production AI/ML environments.
• 3+ years of AI cluster design, validation, and production deployment experience.

Responsibilities

• Design and optimize AI accelerator systems and GPU clusters for production ML workloads.
• Debug system-level issues such as PCIe connectivity, memory subsystems and interconnects in AI clusters.
• Lead platform bring-up and validation for next-gen AI hardware.
• Develop and execute test plans and validation strategies for AI systems.
• Collaborate with OEM vendors on firmware integration and system-level optimizations.
• Mentor junior engineers and drive cross-functional collaboration.

Skills

Python programming

Linux/Unix administration

Docker

System-level debugging

AI/ML workload optimization

Education

Bachelor's degree + 6+ years OR Master's + 4+ years OR PhD + 2+ years in CS/EE

Tools

Redfish/IPMI/BMC

PCIe familiarity

OpenMPI

Job description

Job Details

Job Description: You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your degree, research and or relevant previous job and or internship experiences.

The Role and Impact As an AI Systems and Solutions Engineer, you will play a pivotal role in designing, optimizing, and supporting cutting‑edge AI accelerator systems and cloud infrastructure to enable large‑scale machine learning workloads. You will be responsible for system‑level engineering, validation, and integration of next‑generation AI platforms, ensuring optimal performance and reliability for enterprise applications. This role has a direct impact on advancing Intel’s AI solutions and driving innovation in the rapidly evolving AI technology landscape.

Business Group

You will be joining Intel's Data Center Group (DCG), a global team dedicated to developing high-performance computing solutions for enterprise, cloud, and edge workloads. The AI Customer Success and Solutions organization focuses on delivering advanced technologies and systems that accelerate artificial intelligence adoption and maximize its potential across industries. The team collaborates broadly across Intel to deliver impactful solutions that empower businesses to solve complex challenges.

Key Responsibilities

• Design and optimize AI accelerator systems, including GPU clusters and Gaudi platforms, for production machine learning workloads.
• Debug system-level issues such as PCIe connectivity, memory subsystems, and interconnects in AI clusters.
• Lead platform bring‑up and validation for next‑generation AI hardware, ensuring system stability and readiness.
• Develop and execute comprehensive test plans and validation strategies for AI systems.
• Collaborate with OEM vendors on firmware integration and system-level optimizations.
• Perform full-stack debugging across hardware, firmware, and software layers.
• Develop automated testing frameworks, diagnostic tools, and monitoring solutions for AI systems.
• Mentor junior engineers and contribute to cross-functional team collaborations to resolve complex technical challenges.
• Drive architectural improvements and technical decisions to enhance AI infrastructure capabilities.

Qualifications

Qualifications: You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your degree, research and or relevant previous job and or internship experiences.

Minimum Qualifications

• Bachelors and 6+ years or Masters and 4+ years or PhD and 2+ years in Computer Science, Electrical Engineering, or related field.
• 5+ years of experience in system engineering, platform validation, or related roles.
• 3+ years of experience of successfully bringing up and debugging high-performance AI clusters.
• 3+ years of experience resolving complex system-level issues in production AI/ML environments.
• 3+ years of experience AI cluster design, validation, and production deployment experience.

Preferred Qualifications

• Experience of debugging large GPU clusters is a plus.
• Solid understanding of PCIe, memory subsystems, and AI accelerators.
• Experience with Intel platforms (Xeon, Gaudi) or other GPU/AI accelerators.
• Familiarity with AI frameworks such as PyTorch, TensorFlow, OpenMPI, and vLLM.
• Proficiency in programming languages, especially Python.
• Expertise in Linux/Unix administration, Docker, and shell scripting.
• Knowledge of Redfish, IPMI, BMC management protocols.
• Strong grasp of computer architecture, AI/ML workload optimization, and enterprise platform security.

Job Type

Experienced Hire Shift: Shift 1 (United States of America) Primary Location: US, Oregon, Hillsboro Additional Locations: US, California, Folsom

All qualified applicants

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation or any other characteristic protected by local law, regulation or ordinance.

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range

Annual Salary Range for jobs which could be performed in the US: $195,200.00-275,580.00 USD

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on‑site at their assigned Intel site and off‑site. * Job posting details (such as work model, location or time type) are subject to change. * ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

Position of Trust

N/A