PA
Staff Engineer - AI Workload Benchmarking
Accepting applicationsProdapt ASIC services (Formerly Innovative Logic) · San Jose, CA
Contract Mid_senior AIASICC++DFTFPGA
Posted
1d ago
Category
Design
Experience
Mid_senior
Country
United States
Prodapt ASIC Services (formerly Innovative Logic) provides end-to-end SoC/ASIC, FPGA, and embedded software solutions. Our design services cover the complete lifecycle from RTL to GDSII, covering domains like 3nm node physical design, UVM verification, DFT, and silicon bring-up for 5G, AI, and IoT.
We are looking for Staff Engineer - AI Workload Benchmarking in San Jose, CA and it's a 5-day onsite position.
Job Description:
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.
Job Responsibilities:
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.
Thanks & Regards
Divakar Dhandapani
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We are looking for Staff Engineer - AI Workload Benchmarking in San Jose, CA and it's a 5-day onsite position.
Job Description:
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.
Job Responsibilities:
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.
Thanks & Regards
Divakar Dhandapani
Show more Show less