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This position requires - Clear Background, Drug Test, and Education Check.
Must be authorized to work in the US for any employer without Sponsorship.
(Principal Only! No Corp to Corp)
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Position Title: 579601-Staff Engineer - AI Workload Benchmarking
Location: San Jose, CA

Pay Rate: $65-$75

Contract Duration: 6 months contract

Responsibilities:

• Align benchmarking insights to leadership in memory (HBM, DRAM, CXL) and storage (SSD/NAND) to inform product roadmaps.

• Enable next-generation AI infrastructure solutions through performance-driven system design, validation, and standards engagement.

Requirements:

 

• Bachelor's/ Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field; advanced degree preferred.

• Professional experience in systems performance engineering, storage performance, or AI infrastructure benchmarking.

• Demonstrated expertise with NVMe SSDs and storage stack performance analysis (block layer, page cache, file systems, asynchronous I/O).

• Hands-on experience with AI/ML workloads — LLM training and inference frameworks (PyTorch, vLLM, TensorRT-LLM, or equivalent), embedding pipelines, or vector databases (FAISS, Milvus, DiskANN, HNSW).

• Strong proficiency with Linux performance and tracing tools: blktrace, perf, eBPF/bpftrace, ftrace, BCC, iostat, fio.

• Working knowledge of GPU systems and accelerator I/O paths

• Experience designing and executing benchmarks against industry standards (MLPerf Storage, or equivalent).

• Proficiency in Python for benchmarking automation, data analysis, and visualization; comfort with C/C++ for systems-level work.

• Proven ability to deliver structured technical reports, characterization studies, and reproducible benchmark artifacts to a senior engineering audience.

 

We encourage Minorities, Women, Protected Veterans and Disabled individuals to apply for all positions that they may be qualified for. We maintain a drug-free workplace and perform pre-employment substance abuse testing and background checks


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If you are interested in this position, please submit your resume in a Word Document with the month and year that you have worked at each previous position to - hemalatha@norlandgroup.com and copy: 579601-Staff Engineer - AI Workload Benchmarking to the email Subject Line.

Or click this email link and attach your resume in a MS Word Document format

Job Posted Date: 6/18/2026