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Benchmarking Jobs in California (NOW HIRING)

Broadcom

AI Systems Performance Engineer

San Jose, CA · On-site

This role involves driving the performance benchmarking of AI inference, training, and storage workloads while optimizing the Ethernet fabric that connects the servers. Responsibilities : • ...

Figma

Compensation Partner

San Francisco, CA · On-site +1

You will have an understanding of sales compensation including OTE benchmarking and design, sales segmentation and quota-based incentives. You are a trusted partner to Sales leaders, able to ...

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Benchmarking information

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$50.3K

$79.3K

$112.5K

How much do benchmarking jobs pay per year?

As of Jun 9, 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 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
Engineering Manager, Inference Benchmarking - AI Perf

Engineering Manager, Inference Benchmarking - AI Perf

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 12 days ago

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's an outstanding 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. Come join the team and see how you can make a lasting impact on the world.
NVIDIA's open-source benchmarking platform, AIPerf, is the growing standard for assessing LLM serving performance across various inference frameworks. Hyperscalers, cloud providers, and enterprises use AIPerf to inform decisions on production inference. This includes choosing GPUs, optimizing costs, reducing latency, improving efficiency, and scaling. As Technical Lead Manager, you will lead the engineering team within NVIDIA's Dynamo organization. Your responsibility is to build and advance the platform so AIPerf becomes the leading benchmarking tool for datacenter, local, and edge use cases. This span LLM, multimodal, diffusion, and computer vision inference. This position combines hands-on leadership with expertise in systems engineering, inference infrastructure, and open-source communities. It has a direct effect on how AI performance is measured and pushed forward.
What you'll be doing:
  • Driving the technical roadmap for AIPerf's core infrastructure: load generation, ZMQ-based microservices, GPU telemetry (DCGM/PyNVML, Prometheus metrics, statistical confidence intervals, and Kubernetes-native deployment.
  • Taking ownership for the accuracy and statistical soundness of benchmark results that engineering groups throughout the industry depend on to inform production infrastructure decisions.
  • Advising upstream engine integrations involving vLLM, TRT-LLM, and SGLang in partnership with NVIDIA's Dynamo and NIM teams to maintain AIPerf's relevance across emerging hardware, workload categories, and inference configurations.
  • Hiring, mentoring, and growing a team of senior engineers operating in a high-velocity open-source environment with active external contributors worldwide.

What we need to see:
  • Bachelor's degree in Computer Science, Electrical Engineering, or related field, or equivalent experience.
  • 8+ overall years of software engineering experience building performance-critical infrastructure, ML tooling, or distributed systems.
  • 3+ years of engineering leadership experience as a tech lead, TLM, or engineering manager.
  • Deep understanding of LLM inference mechanics - TTFT, ITL, KV caching, Prefill/Decode, speculative decoding - and the ability to reason about measurement correctness and reproducibility.
  • Proven track record of collaborating across multi-functional groups and delivering production-quality output in high-velocity, high-external-visibility environments.

Ways to stand out from the crowd:
  • Extensive experience with vLLM, TRT-LLM or SGLang internals along with contributions to their upstream projects.
  • Experience building Kubernetes-native infrastructure including operators, Helm charts, and GPU observability tooling (DCGM, dcgm-exporter, PyNVML).
  • Background in competitive benchmarking frameworks such as MLPerf or equivalent industry-standard evaluation systems.
  • History leading or making meaningful contributions to active open-source projects with external communities.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 1, 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.
Nvidia logo

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

Year founded

1993

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