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Perf Jobs in California (NOW HIRING)

Nvidia

Senior Datacenter GPU Power Architect

Santa Clara, CA · On-site

$79 - $105.75/hr

We are continually innovating in creative and unrivaled ways to improve our ability to deliver exceptional Perf/Watt solutions in a wide range of sectors and verticals. Come join NVIDIAs Applied ...

AGI Inc

iOS Engineer

San Francisco, CA · On-site

$61 - $84/hr

How to read an iOS perf trace and find the actual bug Skills you'll be expected to learn * Running LLMs on Apple Neural Engine at consumer scale * What an agent looks like with full system context vs ...

West Coast Consulting

Design Engineer III

Sunnyvale, CA · On-site

$80 - $86/hr

Build power/perf dashboard for tracking and publishing Debug RTL failures (waveform/Verdi) and provide actionable feedback to the design team/verification team. Contribute to automation of ...

West Coast Consulting LLC

Design Engineer III

Sunnyvale, CA · On-site

$161K - $197K/yr

Build power/perf dashboard for tracking and publishing Debug RTL failures (waveform/Verdi) and provide actionable feedback to the design team/verification team. Contribute to automation of ...

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Perf information

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How much do perf jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for perf in California is $16.14, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $16.15 per hour, depending on experience, location, and employer.

What is the difference between Perf vs Data Analyst?

AspectPerfData Analyst
Required CredentialsPerformance testing certifications, technical skillsStatistics, data analysis certifications, SQL, Excel
Work EnvironmentIT, software testing teams, performance optimization projectsBusiness, finance, marketing departments, data interpretation
Employer & Industry UsageTech companies, software firms, gaming industryVarious industries including finance, healthcare, marketing
Common Search & ComparisonYesYes

Perf specialists focus on testing and optimizing system performance, often requiring technical certifications and working within IT teams. Data Analysts interpret data to inform business decisions, requiring analytical skills and data certifications. While both roles involve data and technical skills, Perf is more technical and system-focused, whereas Data Analysts focus on data interpretation and reporting.

What are some common challenges faced by performance engineers and how can they be addressed?

Performance Engineers often encounter challenges such as identifying bottlenecks in complex systems, balancing resource constraints, and optimizing application responsiveness under varying loads. To address these challenges, it is important to use robust monitoring tools, collaborate closely with development and operations teams, and proactively test applications in environments that simulate real-world usage. Emphasizing clear communication and thorough documentation also helps ensure that performance improvements are sustainable and understood across the team.

What are the key skills and qualifications needed to thrive as a perfusionist?

To thrive as a Perfusionist, you need a comprehensive understanding of cardiovascular and respiratory physiology, typically backed by a bachelor's degree and certification from an accredited perfusion program. Expertise in operating heart-lung machines, ECMO devices, and other advanced life-support systems is crucial. Attention to detail, composure under pressure, and strong communication skills are essential soft skills for this role. These competencies ensure patient safety and optimal outcomes during complex surgical procedures requiring cardiopulmonary bypass.

What is a perf?

In a professional context, 'Perf' is typically an abbreviation for 'Performance Engineer' or 'Performance Test Engineer.' This role involves analyzing, testing, and optimizing the performance of software applications or systems. Perf professionals use specialized tools to identify bottlenecks, ensure scalability, and make recommendations for improvements to maintain optimal system performance. They collaborate with development and operations teams to ensure applications meet performance requirements and service level agreements.
What are popular job titles related to Perf jobs in California? For Perf jobs in California, the most frequently searched job titles are:
What job categories do people searching Perf jobs in California look for? The top searched job categories for Perf jobs in California are:
Perf jobs near you
Infographic showing various Perf job openings in California as of August 2026, with employment types broken down into 79% Full Time, 17% Part Time, 2% Temporary, and 2% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $33,567 per year, or $16.1 per hour.

Engineering Manager, Inference Benchmarking - AI Perf

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 15 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

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.

What Nvidia employees say

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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

Year founded

1993

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