Senior AI Solution Architect

Intel; Hillsboro (OR); On-site; USD 171,000 - 315,000; Full time

Job summary

Intel in Hillsboro, Oregon is seeking an Experienced Hire to help design, validate, and optimize AI accelerator systems for production ML workloads. You will join a cross‑functional team working with GPUs, Xeon platforms, and AI hardware to deliver scalable solutions on enterprise cloud deployments.

This role emphasizes system‑level debugging, platform bring‑up, and collaboration across hardware, firmware, and software groups.

Qualifications

• Bachelor's/Master's/PhD with years of experience as stated in the job posting.
• Experience in system engineering, platform validation, or related roles.
• Experience bringing up and debugging high‑performance AI clusters.
• Experience resolving complex system‑level issues in production AI/ML environments.
• Experience AI cluster design, validation, and production deployment.

Responsibilities

• Design and optimize AI accelerator systems for production ML workloads.
• Debug PCIe, memory subsystems, and interconnect issues in AI clusters.
• Validate and integrate GPUs and AI accelerator platforms.
• Lead platform bring‑up and validation for next‑generation AI hardware.
• Develop comprehensive test plans for AI systems.
• 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 data center technicians.
• Lead cross‑functional teams through complex technical challenges.

Skills

Python

Linux/Unix

Docker

System debugging

AI hardware

PCIe

OpenMPI

PyTorch

Education

Bachelor's degree in Computer Science or Electrical Engineering

Tools

BMC firmware

Job description

Intel is a company of bold and curious inventors and problem solvers who create some of the most astounding technology advancements and experiences in the world. With a legacy of relentless innovation and a commitment to bring smart, connected devices to every person on Earth, our diverse and brilliant teams are continually searching for tomorrow's technology and revel in the challenge that changing the world for the better brings. We work every single day to design and manufacture silicon products that empower people's digital lives. Come join us and do something wonderful. We focus on designing, implementing, and optimizing AI accelerator systems and cloud infrastructure for large-scale machine learning workloads. The ideal candidate will have extensive experience with AI hardware platforms, system-level debugging, and cross-functional collaboration in enterprise environments.

Key Responsibilities

• Design and optimize AI accelerator systems (Gaudi, GPU clusters) for production ML workloads.
• Debug complex PCIe, memory subsystem, and interconnect issues in AI clusters.
• Validate and integrate the cutting‑edge GPUs and AI accelerator platforms.

System Integration and Validation

• Lead platform bring‑up and validation for next‑generation AI hardware
• Develop comprehensive test plans for AI systems.
• Collaborate with OEM vendors on BMC firmware integration and system stability.
• Perform full‑stack debugging across hardware, firmware, and software layers.

Infrastructure and Tooling

• Develop automated testing frameworks and monitoring solutions.
• Create diagnostic tools and APIs for system health monitoring.

Leadership and Collaboration

• Mentor junior engineers and data center technicians.
• Lead cross‑functional teams through complex technical challenges.
• Coordinate with hardware, firmware, and software teams on platform readiness.
• Drive technical decisions and architectural improvements.

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 with Intel platforms (Xeon, Gaudi) or similar GPU or AI accelerators.
• Familiarity with cloud deployment and containerization.
• Programming: Expert‑level Python.
• AI/ML Frameworks: Experience with vLLM, PyTorch, TensorFlow, OpenMPI
• System Tools: Linux/Unix administration, Docker, shell scripting.
• Hardware: Deep understanding of PCIe, memory subsystems, AI accelerators.
• Protocols: Redfish, IPMI, BMC management.
• Computer architecture and microprocessor design.
• AI/ML workload optimization and deployment.
• System‑level debugging and validation methodologies.
• Enterprise platform security and manageability.

Job Type

Experienced Hire

Shift

Shift 1 (United States of America)

Primary Location

US, Oregon, Hillsboro

Additional Locations

Posting Statement

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.

Position of Trust

N/A

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 for jobs which could be performed in the US: $170,500.00 - 315,490.00 USD

The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will require an on‑site presence. 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.