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Benchmarking Jobs in California (NOW HIRING)

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Benchmarking information

See California salary details

$50.3K

$79.3K

$112.5K

How much do benchmarking jobs pay per year?

As of Jul 22, 2026, the average yearly pay for benchmarking in California is $79,334.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,100.00 and $85,900.00 per year, depending on experience, location, and employer.

How does a Benchmarking Analyst typically collaborate with other departments to drive performance improvements?

Benchmarking Analysts frequently work cross-functionally, partnering with teams such as operations, finance, and quality assurance to collect data and compare organizational performance against industry standards. They facilitate workshops, share insights, and help identify actionable areas for improvement. This collaborative approach ensures that recommendations are tailored to each department's unique challenges and that initiatives are widely supported and successfully implemented.

What are the key skills and qualifications needed to thrive as a Benchmarking Analyst, and why are they important?

To thrive as a Benchmarking Analyst, you need strong analytical skills, attention to detail, and a background in business, statistics, or related fields. Familiarity with data analysis tools like Excel, SQL, or benchmarking software, as well as certifications such as Six Sigma, are often valuable. Excellent communication, critical thinking, and problem-solving abilities help you interpret data and present actionable insights to stakeholders. These skills are crucial for driving performance improvements and maintaining competitiveness by accurately comparing organizational practices against industry standards.

What is the difference between Benchmarking vs Data Analyst?

AspectBenchmarkingData Analyst
Required credentialsOften requires business or industry-specific certifications, degrees in business, economics, or related fieldsTypically requires degrees in statistics, mathematics, or computer science; certifications like CAP or Microsoft Data Analyst
Work environmentPrimarily in corporate, manufacturing, or consulting settings focusing on performance comparisonIn various industries, working with data sets, reporting, and data visualization tools
Employer and industry usageUsed by organizations to improve processes by comparing against best practicesUsed across industries for data analysis, reporting, and decision-making support

While Benchmarking focuses on comparing organizational performance to industry standards, Data Analysts interpret data to inform business decisions. Both roles require analytical skills but serve different strategic purposes within organizations.

What is benchmarking?

Benchmarking is the process of comparing a company's products, services, or processes against those of leading organizations in the industry or best practices from other industries. The goal is to identify areas where improvements can be made to increase efficiency, quality, or competitiveness. Benchmarking often involves collecting data, analyzing performance metrics, and implementing changes based on findings. This strategic approach helps organizations stay competitive and continuously improve their operations.
What job categories do people searching Benchmarking jobs in California look for? The top searched job categories for Benchmarking jobs in California are:
What cities in California are hiring for Benchmarking jobs? Cities in California with the most Benchmarking job openings:
Infographic showing various Benchmarking job openings in California as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $79,334 per year, or $38.1 per hour.
Staff Engineer - AI Workload Benchmarking

Staff Engineer - AI Workload Benchmarking

LeadStack Inc.

San Jose, CA • On-site

Full-time

Posted 4 days ago


Job description

Job Summary:
LeadStack Inc. is an award-winning staffing services provider of contingent workforce. They are seeking a Staff Engineer specialized in AI Workload Benchmarking to align benchmarking insights and enable next-generation AI infrastructure solutions.
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.
Qualifications:
Required:
• Bachelor's/ Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
• 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
Preferred:
• advanced degree preferred
Company:
We are one of the nation’s fastest-growing, award- winning staffing services provider of contingent workforce. Founded in 2016, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.