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Artificial Intelligence Testing Jobs in California

Data/Cloud Architect (AWS)

Irvine, CA · On-site

$69.75 - $88.75/hr

... code, testing techniques, and support activities to enrich the knowledge base and assist other ... Preferred Skill and Experience Preferred exposure to Artificial Intelligence services, Large ...

New

NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. We are now looking for a Senior Test Engineer to manage Datacenter product testers.

NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. We are now looking for a Test Engineer to manage Datacenter product testers. You will ...

Artificial Intelligence solutions * Large Language Models (LLMs) * AI-enabled workflows and ... Strong understanding of automated testing, deployment, and release management processes.

New

SDET Engineer for Developing testing strategies and creating, maintaining and executing automatoed ... Artificial Intelligence QA Automation REST API Test Automation Swift UI Automation.

Applied AI ML Researcher Lead

Palo Alto, CA · On-site +1

$191K/yr

The Applied Artificial Intelligence and Machine Learning team in Commercial and Investment Banking ... Establish rigorous experimentation practices, including offline/online evaluation, ablation testing ...

Data Scientist II

Pasadena, CA · On-site

$122.72 - $135.51/hr

The Artificial Intelligence Group (see ai.jpl.nasa.gov) works on fundamental research problems ... VLM, LLM, Foundation models) including training, deploying, compressing, evaluating, and testing.

AI Engineer

Tustin, CA · On-site

$80K - $100K/yr

The AI Engineer is a developing professional role responsible for supporting the design, development, testing, deployment, and ongoing support of artificial intelligence, automation, and data-enabled ...

AI Engineer

Tustin, CA · On-site

$80K - $100K/yr

The AI Engineer is a developing professional role responsible for supporting the design, development, testing, deployment, and ongoing support of artificial intelligence, automation, and data-enabled ...

Demonstrate knowledge and expertise in artificial intelligence and application. * Experience and ... Experience directing teams of architects, programmers, analysts and testers in a variety of small ...

The Artificial Intelligence Group (see ai.jpl.nasa.gov) works on fundamental research problems ... VLM, LLM, Foundation models) including training, deploying, compressing, evaluating, and testing.

... testing or Monte Carlo simulations to assess uncertainty and tail risk About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence ...

We believe artificial intelligence should help experts make better decisions, not replace them. Our ... Participate in customer interviews, usability testing, and product discovery activities. * Use ...

BREV/AN is at the forefront of revolutionizing how businesses leverage artificial intelligence ... testing. Preferred Qualifications * Knowledge of Large Language Models (LLMs) is a significant plus.

Showing results 41-60

Artificial Intelligence Testing information

See California salary details

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$57

How much do artificial intelligence testing jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for artificial intelligence testing in California is $45.87, according to ZipRecruiter salary data. Most workers in this role earn between $41.54 and $50.29 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in artificial intelligence testing?

Professionals in Artificial Intelligence Testing often encounter unique challenges, such as validating the unpredictable behavior of machine learning models and ensuring algorithmic fairness and accuracy. They must design comprehensive test cases to cover a wide variety of data inputs and potential edge cases, often in complex, rapidly evolving environments. Collaboration with data scientists, developers, and stakeholders is essential to understand model requirements and to interpret test results accurately. Staying up-to-date with advances in both AI and testing technologies is also key, as the field is continually evolving.

What are the key skills and qualifications needed to thrive in artificial intelligence testing?

To thrive in Artificial Intelligence Testing, candidates typically need a background in computer science, machine learning concepts, software testing methodologies, and knowledge of programming languages like Python or Java. Familiarity with AI testing frameworks, version control systems, and tools such as TensorFlow, PyTorch, or JUnit is highly valued, along with certifications in software testing or AI. Strong problem-solving ability, attention to detail, and effective communication skills are critical soft skills in this role. These qualifications ensure the tester can rigorously validate AI models, collaborate well with development teams, and maintain high-quality, reliable AI systems.

What is an artificial intelligence testing job?

An Artificial Intelligence Testing job involves evaluating and validating AI models, algorithms, and systems to ensure accuracy, reliability, and fairness. Testers design test cases, identify biases, detect errors, and assess model performance under different conditions. They use tools like automation frameworks, data validation techniques, and model debugging to improve AI functionality. The role requires knowledge of machine learning, programming, and testing methodologies to ensure AI systems perform as expected in real-world scenarios.

Is artificial intelligence testing a good career?

Artificial intelligence testing is a growing field that involves evaluating AI systems for accuracy, reliability, and safety. It requires skills in programming, data analysis, and understanding machine learning models, making it a promising career with increasing demand across various industries.

How do I become an artificial intelligence tester?

To become an artificial intelligence tester, you typically need a background in computer science, software testing, or data analysis, along with knowledge of machine learning and AI concepts. Skills in programming languages such as Python or Java, experience with testing tools, and understanding of AI models are important. Earning relevant certifications or completing specialized training can also enhance your qualifications.
What are the most commonly searched types of Artificial Intelligence Testing jobs in California? The most popular types of Artificial Intelligence Testing jobs in California are:
What cities in California are hiring for Artificial Intelligence Testing jobs? Cities in California with the most Artificial Intelligence Testing job openings:
Infographic showing various Artificial Intelligence Testing job openings in California as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, 2% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $95,400 per year, or $45.9 per hour.

Senior System Test Engineer

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 21 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 is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.
We are now looking for a Senior Test Engineer to manage Datacenter product testers. You will be joining the Test Solution Group that architects and develops manufacturing test solutions for Datacenter system products at NVIDIA.
What you'll be doing:
  • Partner with internal and external hardware and software teams to define, develop, deploy, and maintain manufacturing test solutions for Data Center products.
  • Setup, validate and support rack level tester platforms at contract manufacturers, internal labs, and 3rd party test sites.
  • Oversee test facility design and development with efficient air and liquid cooling setup.
  • Manage test facility KPIs.
  • Plan and drive tester/server hardware and software upgrades at all sites.
  • Drive failure analysis of tester/server and internal components. Identify the failure root cause, perform required repair, and fix the failure Pareto.
  • Drive key tester critical metrics like tester uptime, recovery time, timely report and material management.
  • Develop test strategy for new product features including identification, specification, design and qualification of test fixtures, test equipment and diagnostic software.
  • Regular tester and test facility status reporting and improvement recommendations to management.

What we need to see:
  • 8+ years of proven experience in PCBA and System products validation.
  • BS Degree or MS Degree in Electrical or Computer Engineering (or equivalent experience)
  • Extensive knowledge of manufacturing, chip to system.
  • Background in production test setup including failure analysis, problem solving and ECOs.
  • Experience designing, qualifying, and upgrading test fixtures/testers.
  • Experience with system test development: hardware and software
  • Knowledge of server architecture, design, components, sub-assemblies and systems

Ways to stand out from the crowd:
  • 5+ years of manufacturing testing experience at a production factory.
  • 3+ years of experience in facility cooling design and management. Liquid cooling knowledge is big bonus.
  • Excellent interpersonal skills

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers; we have some of the most forward-thinking and hardworking people in the world working for us and, due to unparalleled growth, best-in-class teams are rapidly growing. If you're creative and autonomous with a real passion for your work, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 253,000 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 13, 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

Pay

Benefits

Hours and flexibility

Workplace

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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