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Benchmarking Jobs in California (NOW HIRING)

Snowflake

Senior Product Marketing Engineer

Menlo Park, CA · On-site

$165K - $216K/yr

This role will own the end-to-end benchmarking process, from defining the testing strategy and designing the benchmarking architecture to executing workloads, validating results, and communicating ...

Volkswagen AG

Mgr, UX Market Analytics

San Jose, CA · On-site

$136K/yr

The Manager benchmarking & User Experience (Autonomous Driving Technologies) plays a pivotal role in shaping the future of autonomous mobility by driving user experience excellence tailored to the U.

Volkswagen AG

Mgr, UX Market Analytics

San Jose, CA · On-site

$136K/yr

The Manager benchmarking & User Experience (Autonomous Driving Technologies) plays a pivotal role in shaping the future of autonomous mobility by driving user experience excellence tailored to the U.

Artificial Analysis

Senior AI / ML Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Melbourne (hybrid, 3+ days a week in our Melbourne office) About Artificial Analysis Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises ...

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Showing results 21-40

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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 Sep 4, 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.

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 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.

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 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 are popular job titles related to Benchmarking jobs in California?

For Benchmarking jobs in California, the most frequently searched job titles are:

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:

Benchmarking jobs near you
Infographic showing various Benchmarking job openings in California as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $79,334 per year, or $38.1 per hour.

Senior Data Center Performance Engineer - Benchmarking and Optimization

Nvidia Corporation

Santa Clara, CA • On-site

$122K - $168K/yr

Full-time

Re-posted 27 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
NVIDIA has a rapidly expanding ecosystem of data center platform designs. From single node HGX/DGX systems all the way up to large multi-node NVLink domain rack architectures. These designs have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. Each brings together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA InfiniBand networking, NVIDIA Grace CPUs, and a fully optimized NVIDIA AI and HPC software stack. We are searching for a highly motivated engineer to lead performance benchmarking and optimization efforts for our data center products. You will be instrumental in ensuring our data center solutions deliver industry-leading performance for accelerated computing workloads.
What you will be doing:
  • Design and execute comprehensive performance benchmarking strategies for our data center platforms and products
  • Characterize real-world AI training, inference, and HPC workloads at scale
  • Define, track, and report key performance indicators (throughput, latency, efficiency, scaling)
  • Build automation tools and frameworks for performance monitoring and analysis
  • Identify and analyze performance bottlenecks across compute, memory, network and storage subsystems
  • Work closely with architecture, hardware, software, networking, storage and customer teams to resolve performance issues
  • Drive performance improvements through system tuning, configuration optimization, and architectural recommendations for future generation systems

What we need to see:
  • M.S. or Ph.D. in Computer Science, Electrical Engineering or related field (or equivalent experience).
  • 8+ years of experience in performance engineering or system architecture
  • Deep understanding of computer architecture, hardware-software interaction and computing at-scale
  • Strong proficiency in performance profiling tools (Linux perf, NVIDIA Nsight Systems)
  • Familiarity with GPU computing and parallel programming (CUDA)
  • Background with HPC networking technologies (InfiniBand, RoCE, NVLink)
  • Programming skills in Python, C++, and shell scripting. Excellent analytical and problem-solving abilities
  • Adaptability and passion to learn new technologies
  • Ability to communicate effectively and work with cross-functional global teams

Ways to stand out from the crowd:
  • Experience with AI/ML frameworks (PyTorch, TensorFlow, JAX). Knowledge of MPI, collective communications (NCCL), distributed training and inference. Familiarity with NVIDIA DGX, HGX platforms and other data center solutions
  • Familiar with containers, cloud provisioning and scheduling tools (Docker, Kubernetes, SLURM). Understanding of storage systems and I/O performance
  • Track record of performance optimization in production environment. Experience with AI code generation tools

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 31, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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