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Performance Testing Jobs in Santa Clara, CA (NOW HIRING)

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

... Testing, Performance Testing for web based enterprise applications and products • Awareness of testing techniques like Equivalence partitioning, Boundary value analysis, Decision table testing ...

This includes functional automation, performance testing, technical test automation and system administration duties for the team?s test tools. This person will participate in the development of test ...

Guide performance engineering practices for web and mobile , including load, stress, endurance, and real-user performance testing. * Drive frontend and backend performance improvements , supporting ...

Expertise in performance testing methodologies (load, stress, endurance, spike, and benchmarking) and tools like JMeter, NeoLoad, or LoadRunner, including UI performance auditing techniques.

Expertise in performance testing methodologies (load, stress, endurance, spike, and benchmarking) and tools like JMeter, NeoLoad, or LoadRunner, including UI performance auditing techniques.

Expertise in performance testing methodologies (load, stress, endurance, spike, and benchmarking) and tools like JMeter, NeoLoad, or LoadRunner, including UI performance auditing techniques.

This includes functional automation, performance testing, technical test automation and system administration duties for the team?s test tools. This person will participate in the development of test ...

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Performance Testing information

See Santa Clara, CA salary details

$12

$55

$80

How much do performance testing jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for performance testing in Santa Clara, CA is $55.40, according to ZipRecruiter salary data. Most workers in this role earn between $43.70 and $65.29 per hour, depending on experience, location, and employer.

What is performance testing?

Performance testing is a type of software testing that evaluates how well an application performs under various conditions, particularly in terms of responsiveness, stability, scalability, and speed. It helps identify bottlenecks, ensure the system can handle expected user loads, and verifies that performance requirements are met. Common types of performance testing include load testing, stress testing, and endurance testing. This process is crucial for delivering reliable applications and a positive user experience.

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

To thrive as a Performance Tester, you need a strong understanding of software testing principles, performance metrics, and experience with scripting languages, typically supported by a degree in computer science or a related field. Proficiency with tools such as JMeter, LoadRunner, or Gatling, as well as familiarity with CI/CD systems and relevant certifications, is essential. Analytical thinking, problem-solving abilities, and effective communication help you identify bottlenecks and clearly convey findings to development teams. These skills ensure the reliability, scalability, and efficiency of applications in real-world environments.

What are some common challenges faced by performance testers during large-scale application testing, and how can they be addressed?

Performance testers often encounter challenges such as simulating realistic user loads, identifying bottlenecks in complex systems, and interpreting large volumes of test data. Addressing these challenges typically involves using advanced performance testing tools, collaborating closely with development and operations teams, and implementing robust monitoring solutions. Clear communication and thorough documentation also help ensure issues are identified and resolved efficiently, leading to more reliable application performance.

What is the difference between Performance Testing vs Software Test Engineer?

AspectPerformance TestingSoftware Test Engineer
Primary FocusEvaluating system speed, responsiveness, and stability under loadEnsuring overall software quality through various testing types
Required SkillsPerformance testing tools, scripting, load generationManual and automated testing, test case design, defect tracking
Work EnvironmentTesting labs, performance testing tools, scripting environmentsDevelopment and testing environments, diverse testing tools
CertificationsISTQB, performance testing certificationsISTQB, software testing certifications

Performance Testing specialists focus on assessing system performance metrics like speed and stability, often using specialized tools. Software Test Engineers have a broader role, covering various testing types to ensure overall software quality. While both roles require testing knowledge and certifications like ISTQB, their core responsibilities and tools differ significantly.

What are the most commonly searched types of Performance Testing jobs in Santa Clara, CA?

The most popular types of Performance Testing jobs in Santa Clara, CA are:

What are popular job titles related to Performance Testing jobs in Santa Clara, CA?

For Performance Testing jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Performance Testing jobs in Santa Clara, CA look for?

The top searched job categories for Performance Testing jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Performance Testing jobs?

Cities near Santa Clara, CA with the most Performance Testing job openings:

Infographic showing various Performance Testing job openings in Santa Clara, CA as of August 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $115,238 per year, or $55.4 per hour.

AI Systems Performance Engineer

Broadcom Inc.

San Jose, CA • On-site

$150 - $200/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago


Broadcom rating

8.7

Company rating: 8.7 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

18th of 161 rated electronics manufacturers


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.

Responsibilities
  • Benchmarking & Execution: Install, configure, and run industry‑standard AI performance benchmarks with an emphasis on MLPerf (Training and Inference) and NCCL tests.
  • Fabric Optimization: Tune and optimize Ethernet network parameters to ensure seamless data flow for distributed AI workloads running on server clusters.
  • Deep Debugging: Identify, isolate, and troubleshoot complex system performance bottlenecks spanning 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.
Qualifications
  • Education: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, plus 10–12 years of related industry experience.
  • OS Expertise: Deep familiarity with Linux operating systems, including system‑level performance tuning and troubleshooting.
  • Programming Skills: Strong proficiency in Python and C++ for scripting and development.
  • AI/ML Knowledge: Familiarity with modern machine learning frameworks, particularly PyTorch, and an 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.
  • Problem Solving: Strong 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; prior experience building CI/CD pipelines for automated hardware or software performance regression testing; familiarity with containerization and orchestration tools such as Docker and Kubernetes.
Compensation and Benefits

The annual base salary range is $141,300 – $226,000.

Eligible for a discretionary annual bonus, a competitive new‑hire equity grant, and annual equity awards.

Broadcom offers a comprehensive benefits package, including medical, dental, and vision plans; 401(k) participation with 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.

Equal Opportunity Employer

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.

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