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About This Role
- 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.
Requirements
- 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.
Requirements
- 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.
Nice to Have
- 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.
- Join us and contribute to groundbreaking advancements in AI systems and solutions.
- Collaborate with some of the best minds in the industry, solve fascinating challenges, and make a lasting impact on the future of technology.
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: $195,200.00-275,580.00 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.
Tools & Skills
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Specialisation
Open roles at Intel
666 positions
Job ID
/job/US-Oregon-Hillsboro/GPU-AI-Solution-Architect_JR0287964
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