System Software and Validation Engineer

Overview

Intel is shaping the future of technology to help create a better future for the world. Our work in AI, analytics, and cloud-to-edge technology drives innovations. With a career at Intel, you’ll have the opportunity to use technology to power breakthroughs and improve everyday life. Learn more via Intel channels.

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.

• 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.

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, Tensor
  
  RT, Tensor Flow, 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, Tensor
  
  RT, Tensor Flow, 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.

Our total rewards package goes above and beyond just a paycheck. We offer generous benefits to help you achieve your goals. Details about Intel benefits can be found on the Intel Benefits page.

Annual Salary Range for jobs which could be performed in the US: $- USD. The range reflects the minimum and maximum target compensation for the position across all US locations. Individual pay is determined by work location and other factors. Your recruiter can share more about the specific compensation range during the hiring process.

This role will be eligible for the hybrid work model, allowing employees to split time between on-site and off-site work. Job posting details 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. If asked to pay any fees, report to your recruiter.