Senior AI Accelerator Systems 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

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.