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Performance Tester Jobs in California (NOW HIRING)

Design, develop, and implement robust performance testing frameworks and automation tools to streamline continuous benchmarking. * Cross-Functional Collaboration: Document test methodologies ...

Proven experience in performance testing and validating Ethernet switch systems. * Analytical Capabilities: Extensive experience with performance metrics, profiling, and benchmarking tools. * Problem ...

Tester B DSW

San Carlos, CA · On-site

$33.44 - $34.09/hr

What You'll Do As a Tester, you'll play a hands-on role in performing control circuit and transformer testing procedures to ensure product performance and compliance with specifications. You'll work ...

Summary Performs electrical, functional, and performance testing of instruments and assemblies to ensure units meet specifications. This role requires strong technical judgment, hands-on ...

Drive performance testing strategies and help define SLAs/SLOs around latency and throughput for critical systems. You might thrive in this role if you: * Have 7+ years of experience in software ...

Drive performance testing strategies and help define SLAs/SLOs around latency and throughput for critical systems. You might thrive in this role if you: Have 7+ years of experience in software ...

Knowledge of performance testing, application tuning and load testing * Knowledge of MongoDB & Casandra Database a plus * Excellent written and verbal communication skills Education * BS/MS in ...

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Performance Tester information

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$10

$46

$68

How much do performance tester jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for performance tester in California is $46.92, according to ZipRecruiter salary data. Most workers in this role earn between $37.02 and $55.29 per hour, depending on experience, location, and employer.

What is a performance tester?

Performance Testers are IT professionals who evaluate the speed, responsiveness, and stability of computer systems, software applications, or networks under a particular workload. Their main role is to ensure that products meet defined performance criteria before they are released, identifying bottlenecks and recommending improvements. Performance Testers use specialized testing tools to simulate various user loads and analyze how a system behaves under stress. This helps organizations deliver reliable and efficient software that performs well under expected and peak usage conditions.

How much do performance testers make in the US?

Performance testers in the US typically earn between $70,000 and $120,000 annually, depending on experience, location, and certifications. Entry-level roles may start around $60,000, while senior positions with specialized skills can exceed $130,000.

How do you become a performance tester?

To become a performance tester, you typically need a background in software testing or quality assurance, along with knowledge of performance testing tools such as JMeter, LoadRunner, or Gatling. Gaining skills in scripting, understanding system architecture, and obtaining certifications like ISTQB or Certified Performance Tester can enhance job prospects.

What does a performance tester do?

A performance tester evaluates software applications to ensure they meet speed, stability, and scalability requirements. They design and execute tests using tools like JMeter or LoadRunner, analyze results, and identify bottlenecks to improve system performance. Strong analytical skills and knowledge of testing methodologies are essential for this role.

What are some common challenges faced by performance testers during large-scale application testing?

Performance Testers often encounter challenges such as accurately simulating real-world user loads, identifying bottlenecks in complex environments, and managing test environments that closely mirror production. Coordinating with development, DevOps, and business teams is essential to ensure that test scenarios reflect actual usage patterns. Additionally, interpreting test results to provide actionable insights requires a strong understanding of both the application architecture and underlying infrastructure.

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

To thrive as a Performance Tester, you need a solid grasp of software testing principles, scripting, and analysis, typically supported by a background in computer science or related fields. Familiarity with performance testing tools like JMeter, LoadRunner, and monitoring systems, as well as relevant certifications such as ISTQB, is highly valuable. Strong analytical thinking, attention to detail, and effective communication ensure thorough test execution and clear reporting of performance issues. These skills are crucial for identifying and resolving system bottlenecks, ensuring reliable software performance under varying loads.

What is the difference between Performance Tester vs QA Tester?

AspectPerformance TesterQA Tester
CertificationsISTQB, LoadRunner, JMeter certificationsISTQB, ISTQB Foundation, or ISTQB Agile certifications
Work EnvironmentFocus on testing system performance, load, and scalabilityFocus on overall software quality, functionality, and bug detection
Industry UsageCommon in software development, IT, and tech companiesWidespread across various industries including tech, finance, healthcare

Performance Testers specialize in evaluating system performance under load, while QA Testers focus on overall software quality and bug detection. Both roles are essential in ensuring software reliability, but Performance Testers concentrate on speed, scalability, and stability, whereas QA Testers ensure the product meets quality standards across all aspects.

What are the most commonly searched types of Performance Tester jobs in California? The most popular types of Performance Tester jobs in California are:
What are popular job titles related to Performance Tester jobs in California? For Performance Tester jobs in California, the most frequently searched job titles are:
What job categories do people searching Performance Tester jobs in California look for? The top searched job categories for Performance Tester jobs in California are:
What cities in California are hiring for Performance Tester jobs? Cities in California with the most Performance Tester job openings:
What are popular job titles related to Performance Tester jobs in CA? For Performance Tester jobs in CA, the most frequently searched job titles are:
Infographic showing various Performance Tester job openings in California as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $97,594 per year, or $46.9 per hour.

AI Systems Performance Engineer

Broadcom, Inc.

San Jose, CA • On-site

$141K - $226K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago


Broadcom rating

8.7

Company rating: 8.7 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

19th of 156 rated electronics manufacturers


Job description

Please Note:
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Job Description:
We are seeking a highly talented and experienced Senior AI Fabric Performance Engineer to take on a critical role within our Performance Lab. In this high-impact position, you will drive the performance benchmarking of AI inference, training and storage workloads with focus on our network infrastructure. You will be responsible to generate reports that aid the customers in deployment and marketing team to position the product.
While the AI workloads (inference and training) run on our servers, your primary focus will be optimizing the Ethernet fabric that connects them. You will be responsible for executing rigorous performance benchmarks, isolating complex system bottlenecks, and tuning parameters to achieve maximum throughput and minimum latency. If you possess a deep understanding of Ethernet fabric, machine learning system demands, and Linux environments, and you thrive on solving complex performance puzzles, we want you on our team.
Key Responsibilities
  • Benchmarking & Execution: Install, configure, and run industry-standard AI performance benchmarks, with a strong emphasis on MLPerf (Training and Inference) and NCCL tests.
  • Fabric Optimization: Tune and optimize network parameters, focusing heavily on Ethernet fabric performance, to ensure seamless data flow for distributed AI workloads running on server clusters.
  • Deep Debugging: Identify, isolate, and troubleshoot complex system performance bottlenecks spanning across the Linux OS, server hardware, and Ethernet switches.
  • Automation Development: Design, develop, and implement robust performance testing frameworks and automation tools to streamline continuous benchmarking.
  • Cross-Functional Collaboration: Document test methodologies, communicate performance findings, and provide actionable improvement recommendations to hardware, software, and networking stakeholders.
Required Qualifications
  • Education: Bachelor's / Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field plus 12+ years / 10+ years related industry experience.
  • OS Expertise: Deep familiarity and hands-on experience with Linux operating systems, including system-level performance tuning and troubleshooting.
  • Programming Skills: Strong proficiency in programming and scripting languages, specifically Python and C++.
  • AI/ML Knowledge: Familiarity with modern machine learning frameworks, particularly PyTorch, and a solid understanding of how AI models consume compute and network resources.
  • Networking & Fabric: Proven experience in performance testing and validating Ethernet switch systems.
  • Analytical Capabilities: Extensive experience with performance metrics, profiling, and benchmarking tools. Strong problem-solving skills with a proven ability to diagnose root causes in complex, distributed systems.
Preferred Qualifications (Optional but recommended for a critical role)
  • Experience with RDMA (Remote Direct Memory Access) and RoCEv2 (RDMA over Converged Ethernet).
  • Prior experience building CI/CD pipelines for automated hardware or software performance regression testing.
  • Familiarity with containerization and orchestration tools (Docker, Kubernetes) used in AI deployments.

Additional Job Description:
Compensation and Benefits
The annual base salary range for this position is $141,300 - $226,000.
As a valued member of our team, you'll be eligible for a discretionary annual bonus and the opportunity to receive not only a competitive new hire equity grant, but also annual equity awards, connecting your success directly to the company's growth. All subject to relevant plan documents and award agreements.
Broadcom offers a competitive and comprehensive benefits package: Medical, dental and vision plans, 401(K) participation including company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave and vacation time. The company follows all applicable laws for Paid Family Leave and other leaves of absence.
Broadcom is proud to be an equal opportunity employer. We will consider qualified applicants without regard to race, color, creed, religion, sex, sexual orientation, national origin, citizenship, disability status, medical condition, pregnancy, protected veteran status or any other characteristic protected by federal, state, or local law. We will also consider qualified applicants with arrest and conviction records consistent with local law.
If you are located outside USA, please be sure to fill out a home address as this will be used for future correspondence.

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