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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Solution Architect - **Company:** Intel Corporation - **Location:** Hillsboro, OR, United States - **Experience:** Expert - **Salary:** $170,500.0 - $315,490.0 - **Contract:** Internship / Graduate position - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Systems Engineering, Intelligent Platform Management Interface, Cloud Computing, Computer Clusters, Computer Programming, Data Centers, Software Debugging, Firmware, Python (Programming Language), Machine Learning, CPU Design, PCI Express, Tensorflow, Shell Script, Software Deployment, Subsystems, Systems Integration, Diagnostic Tools, Graphics Processing Unit (GPU), Cloud Platform System, Pytorch, Containerization, Information Technology, Hardware Acceleration, Docker - **Published:** August 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=90416fb8ab8c4ebf ## About the Role 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., 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., * 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. Job Type ## Description 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. ## Related Videos - [AI Factories at Scale](https://www.wearedevelopers.com/videos/1139-ai-factories-at-scale) - [Playing Pong on a shoulder press machine](https://www.wearedevelopers.com/videos/100140-playing-pong-on-a-shoulder-press-machine) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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