System Software And Validation Engineer

Data Center Performance Engineering And Competitive Marketing Team Member

Intel is shaping the future of technology to help create a better future for the entire world. Our work in pushing forward fields like AI, analytics, and cloud-to-edge technology is at the heart of countless innovations. With a career at Intel, you'll have the opportunity to use technology to power major breakthroughs and create enhancements that improve our everyday quality of life. Join us and help make the future more wonderful for everyone.

In this position, you will be a member of the Data Center Performance Engineering and Competitive Marketing team. This team is responsible for performance benchmarking and analysis to develop, evaluate, and improve AI performance of key applications and benchmarks on CPUs and GPUs across a wide range of AI/ML workloads.

Your responsibilities will include:

• Evaluation of AI performance for leading edge CPUs and GPUs across a wide range of AI domains including inferencing and training using different frameworks
• Incorporate emerging RAG usages and vector database technologies into AI CPU and CPU+GPU workflows.
• Write high quality automation frameworks and scripts BKMs using Python and Linux for repeatability and consistency.
• Build Docker containers to ensure workloads can be run consistently and reliably across environments.

Qualifications:

Minimum qualifications are required 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.

What we need to see (Minimum Qualifications):

• Master's degree in Computer Science or Data Science.
• 2+ years of experience in AI/Machine learning field.
• 2+ years of experience in LMM such as Pytorch, TensorRT, TensorFlow, vLLM.
• 2+ years Linux environment development experience.
• 2+ years' experience with multithreaded programming and parallel computing concepts (CPU and GPU). 1+ years' experience with inference/training LLM and computer vision and natural language models.

Preferred Qualifications:

• System design or prior software experience.
• Deep understanding of high-performance computing architectures (CPUs and GPUs) and optimization techniques.
• Experience with profiling and performance-analysis tools on GPU and CPU for optimizations and system-level debugging.
• Experience developing performance optimizations that measurably improve throughput and latency.
• Expert knowledge of Pytorch, TensorRT, TensorFlow, vLLM, CUDA, Scikit-Learn, and SGLang.
• Experience with popular GenAI (llama, deepseek) and non-GenAI models.
• Excellent analytical and debug skills.

Behavior Traits:

• Excellent written communication and demonstrated presentation skills.
• Demonstrates leadership skills to drive sophisticated issues to resolution.

Benefits at Intel:

Our total rewards package goes above and beyond just a paycheck. Whether you're looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals.

Job Type: Experienced Hire

Shift: Shift 1 (United States of America)

Primary Location: US, Oregon, Hillsboro

Additional Locations:

Business group: At the Data Center Group (DCG), we're committed to delivering exceptional products and delighting our customers. We offer both broad-market Xeon-based solutions and custom x86-based products, ensuring tailored innovation for diverse needs across general-purpose compute, web services, HPC, and AI-accelerated systems.

Posting 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 Trust: N/A

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.

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.