System Software and Validation Engineer

Intel Corporation • Hillsboro, OR

3d • Hybrid

About The Position

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. Want to learn more? Visit our YouTube Channel or the link below. Life at Intel 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.

Requirements

• 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.

Nice To Haves

• 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.
• Excellent written communication and demonstrated presentation skills.
• Demonstrates leadership skills to drive sophisticated issues to resolution.
• Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

Responsibilities

• 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.

Benefits

• 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.
• Go to Intel Benefits | Intel Careers for details of benefits available to you.
• Intel reserves the right to modify, change or discontinue benefit plans at any time in its sole discretion.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level