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Performance Testing Jobs in California (NOW HIRING)

Softtek

Performance Tester

Irvine, CA

Performance Tester Position Type: Full time Softtek Integration Systems offers excellent benefits including Medical, Dental, Vision, 401K, Group Life, STD (Short Term Disability), LTD (long Term ...

Softtek

Performance Tester

Irvine, CA · On-site

Performance Tester Position Type: Full time Softtek Integration Systems offers excellent benefits including Medical, Dental, Vision, 401K, Group Life, STD (Short Term Disability), LTD (long Term ...

Diverse Lynx

SAP Performance Engineer

Sunnyvale, CA · On-site

Required : • Minimum 3 years of proven hands-on software testing experience. • Strong experience in performance testing of SAP applications. • Experience working on Brown or Green field S4 HANA ...

Zenox Global, LLC

Performance Architect

San Jose, CA · Hybrid

$195K/yr

Performance testing from scoping and NFR definition through design, execution, and final sign-off, working closely with business, functional. The ideal candidate should combine deep SAP expertise ...

CoreWeave

GPU Performance Engineer

Sunnyvale, CA · On-site

Responsibilities : • Implement and maintain solutions to problems of scale for testing and validation of CoreWeave's global infrastructure • Develop and improve performance tests and automation ...

Red Bull

Performance Science Manager

Santa Monica, CA · On-site

$85K - $128K/yr

Execute athlete testing and monitoring across biomechanics, physiology, strength/power, movement ... PERFORMANCE SCIENCE INTEGRATION Embed performance testing, monitoring, and feedback directly into ...

Red Bull

Performance Science Manager

Santa Monica, CA · On-site

$85K - $128K/yr

Execute athlete testing and monitoring across biomechanics, physiology, strength/power, movement ... PERFORMANCE SCIENCE INTEGRATION Embed performance testing, monitoring, and feedback directly into ...

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Performance Testing information

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How much do performance testing jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for performance testing 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 jobs pay 2000 a day?

In performance testing, highly specialized consultants or contractors with extensive experience and certifications can earn around $2,000 per day, especially for short-term or high-demand projects. Such roles often require advanced skills in automation, scripting, and tools like JMeter or LoadRunner, and may involve working as independent contractors or in consulting firms. These high daily rates are typically associated with senior-level expertise and niche market demand.

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 engineers make $500,000?

Performance testing engineers with extensive experience, specialized skills in automation tools, and certifications such as ISTQB or CSQA can reach salaries around $500,000, especially in senior or lead roles within large organizations or tech companies. High compensation often reflects expertise in performance analysis, scripting, and environment management, along with leadership responsibilities.

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.

Is performance testing a good career?

Performance testing is a valuable career in software quality assurance, focusing on evaluating system speed, stability, and scalability using tools like JMeter or LoadRunner. It requires technical skills, understanding of system architecture, and often involves certifications, making it a stable and in-demand field for those interested in software performance and reliability.

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 are the most commonly searched types of Performance Testing jobs in California? The most popular types of Performance Testing jobs in California are:
What are popular job titles related to Performance Testing jobs in California? For Performance Testing jobs in California, the most frequently searched job titles are:
What job categories do people searching Performance Testing jobs in California look for? The top searched job categories for Performance Testing jobs in California are:
What cities in California are hiring for Performance Testing jobs? Cities in California with the most Performance Testing job openings:
Performance Testing jobs near you

Senior ML Performance Engineer

Lemurian Labs

Santa Clara, CA

Other

Medical, Dental, Vision, Retirement

Posted 7 days ago

Job description

About the Role

We're looking for a Senior ML Performance Engineer to architect and lead our Performance Testing Platform from the ground up. You'll be the technical authority on how we measure, validate, and optimize the performance of large language models - including Llama 3.2 70B, DeepSeek, and others - before and after compiler optimization on modern GPU architectures.

This is a high-impact role at the intersection of ML systems, GPU architecture, and performance engineering. You'll build the infrastructure that proves our compiler delivers real, measurable value - and you'll work directly with compiler and ML engineers to drive the optimizations that get us there.

What You'll Do
  • Design and build a comprehensive performance testing platform for evaluating LLM inference workloads across GPU clusters
  • Define and implement the benchmarking methodology, metrics, and test suites that measure latency, throughput, memory utilization, power consumption, and model accuracy
  • Establish baseline performance for unoptimized models (Llama 3.2 70B, DeepSeek, etc.) and validate post-optimization improvements
  • Develop automated testing pipelines for continuous performance validation across compiler releases and model updates
  • Investigate performance bottlenecks using profiling tools (ROCm profilers, GPU traces, system-level monitoring) and work with the compiler team to drive optimizations
  • Create dashboards and reporting that provide clear visibility into performance trends, regressions, and wins
  • Collaborate cross-functionally with compiler engineers, ML engineers, and DevOps to ensure performance testing is integrated into our development workflow
  • Document best practices for performance testing and optimization of ML workloads on GPU hardware
Essential Skills and Experience:
  • BS degree in computer science, computer engineering, electrical engineering, or equivalent practical experience
  • 7+ years of experience in performance engineering, benchmarking, or systems engineering roles
  • Deep understanding of ML inference workloads, particularly transformer-based models and LLMs
  • Hands-on experience with GPU programming and optimization (CUDA, ROCm, or similar)
  • Strong programming skills in Python and C/C++
  • Proven track record of building performance testing infrastructure or benchmarking platforms from scratch
  • Experience with ML frameworks (PyTorch, TensorFlow, ONNX Runtime, vLLM, TensorRT-LLM, etc.)
  • Proficiency with profiling and debugging tools for GPU workloads
  • Strong analytical skills with the ability to design experiments, analyze results, and communicate findings clearly
  • Experience with CI/CD systems and test automation frameworks
Preferred Skills and Experience:
  • Masters or PhD degree in computer science, computer engineering, electrical engineering, or equivalent practical experience.
  • Experience with AMD GPUs (Mi200/Mi300 series) and ROCm ecosystem
  • Knowledge of compiler optimization techniques and their impact on performance
  • Experience with distributed inference and multi-GPU workloads
  • Familiarity with ML model quantization, pruning, and other optimization techniques
  • Background in high-performance computing or systems-level optimization
  • Experience with infrastructure-as-code (Kubernetes, Docker, Terraform)
  • Contributions to open-source ML or systems projects
Personal Attributes
  • Precision-driven: you catch the 2% regression that others miss.
  • Self-directed: you take ownership and don't wait for permission to solve problems.
  • Collaborative: you work well across teams and actively help others succeed.
  • Clear communicator: you can explain complex technical concepts to engineers and stakeholders alike.
Why Join Lemurian Labs
  • Build the performance testing infrastructure that validates the future of efficient AI.
  • Own a high-visibility platform that directly influences product quality and customer success.
  • Work with cutting-edge GPU hardware and next-generation LLMs.
  • Competitive compensation including equity, medical/dental/vision, retirement savings, and wellness benefits.

Apply