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.
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 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.
Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Oregon, HillsboroAdditional Locations:US, California, FolsomPosting 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 TrustN/ABenefits
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.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * 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.Skills Required
- Bachelor's degree and 6+ years of experience, or Master's degree and 4+ years, or PhD and 2+ years, in Computer Science, Electrical Engineering, or a related field.
- 5+ years of experience in systems engineering, platform validation, or related roles.
- 3+ years of experience 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 in AI cluster design, validation, and production deployment.
- Experience debugging large GPU clusters.
- Understanding of PCIe, memory subsystems, and AI accelerators.
- Experience with Intel platforms such as Xeon and Gaudi or other GPU/AI accelerators.
- Familiarity with PyTorch, TensorFlow, OpenMPI, and vLLM.
- Proficiency in Python.
- Expertise in Linux or Unix administration, Docker, and shell scripting.
- Knowledge of Redfish, IPMI, and BMC management protocols.
- Strong understanding of computer architecture, AI/ML workload optimization, and enterprise platform security.
Intel Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Intel and has not been reviewed or approved by Intel.
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Leave & Time Off Breadth — Sabbaticals and paid time off are highlighted as signature elements, with an established program offering four weeks after four years or eight weeks after seven years. This distinctive time off is positioned as a meaningful part of the overall package.
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Parental & Family Support — Paid bonding leave of 12 weeks and a New Parent Reintegration program, plus fertility benefits around $40,000 and up to $15,000 adoption reimbursement with no lifetime cap, are clearly stated. These programs are presented as standout components alongside broader family support resources.
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Healthcare Strength — Multiple medical plan options with 2026 updates, a shift to Spring Health for EAP, and in‑network virtual medical visits covered at 100% beginning in 2026 indicate a comprehensive offering. These features signal an emphasis on robust medical access and mental health support.
Intel Insights
What We Do
Our mission is to shape the future of technology to help create a better future for the entire world, that’s the power of Intel Inside. With more ingenuity and creativity inside, our work is at the heart of countless innovations. From major breakthroughs to things that make everyday life better— they’re all powered by Intel technology. With a career at Intel, you can help make the future more wonderful for everyone.
