Senior AI Solution Architect

The world is transforming - and so is Intel. 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:

AI/ML System Engineering

• 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.

• 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.

• 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.

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.