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Ai Test Engineer Jobs in Riverside, CA (NOW HIRING)

FieldAI

Software Engineer, Test Infrastructure

Irvine, CA · On-site

$135K - $170K/yr

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... Integrate testing into CI/CD pipelines and developer workflows * Improve test reliability, reduce ...

FieldAI

Software Engineer, Test Infrastructure

Irvine, CA · On-site

$135K - $170K/yr

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... Integrate testing into CI/CD pipelines and developer workflows * Improve test reliability, reduce ...

Marvell

Sr. Staff Test Development Engineer

Irvine, CA

$118K - $154K/yr

Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling ... This team owns all test engineering activities related to the new product introduction (NPI) plan ...

FieldAI

Senior Software Engineer in Test

Irvine, CA

$155K - $185K/yr

Field AI is transforming how robots interact with the real world. We are building risk-aware ... treating test infrastructure with the exact same engineering rigor as production code. Embed ...

FieldAI

Senior Software Engineer in Test

Irvine, CA

$155K - $185K/yr

Field AI is transforming how robots interact with the real world. We are building risk-aware ... treating test infrastructure with the exact same engineering rigor as production code. Embed ...

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All JobsAi Test Engineer JobsAi Test Engineer Jobs in Riverside, CA

Ai Test Engineer information

See Riverside, CA salary details

$18

$46

$77

How much do ai test engineer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for ai test engineer in Riverside, CA is $46.16, according to ZipRecruiter salary data. Most workers in this role earn between $34.86 and $54.66 per hour, depending on experience, location, and employer.

What is the difference between Ai Test Engineer vs Data Scientist?

AspectAi Test EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; knowledge of testing toolsBachelor's or higher in CS, Statistics, or related; proficiency in data analysis
Work EnvironmentSoftware testing teams, AI development projectsData analysis teams, AI research projects
Employer & Industry UsageTech companies, AI startups, software firmsTech companies, finance, healthcare, research institutions
Common Search & ComparisonOften compared for roles in AI testing and quality assuranceCompared for data analysis and AI model development roles

While both roles work within AI and tech environments, Ai Test Engineers focus on testing and validating AI systems, ensuring quality and performance. Data Scientists analyze data to develop models and insights. The roles are complementary but distinct in their core responsibilities.

What is an AI test engineer?

AI Test Engineers are professionals who design, develop, and execute tests to evaluate the performance, accuracy, and reliability of artificial intelligence systems and machine learning models. They work closely with data scientists and software developers to ensure AI solutions function as intended, identifying bugs, biases, and potential risks in algorithms. Their responsibilities often include creating test cases, automating test processes, and analyzing results to improve AI system quality and compliance.

What are some common challenges AI test engineers face when validating machine learning models?

AI Test Engineers often encounter challenges such as ensuring the quality and fairness of machine learning models, identifying edge cases that the model may not handle well, and working with limited labeled data for testing. Additionally, interpreting test results can be complex due to the probabilistic nature of AI outputs, requiring close collaboration with data scientists to understand model behaviors. Effective communication and a strong foundation in both software testing and AI concepts are essential to address these challenges and ensure reliable AI solutions.

What are the key skills and qualifications needed to thrive as an AI test engineer?

To thrive as an AI Test Engineer, you need a strong background in computer science, software testing methodologies, and a good understanding of machine learning concepts, often supported by a relevant degree. Familiarity with programming languages like Python, testing frameworks such as pytest, and tools like TensorFlow or PyTorch, along with certifications in software testing or AI, are typically required. Analytical thinking, attention to detail, and effective communication set top performers apart in this role. These skills and qualities are crucial for ensuring the reliability, accuracy, and ethical deployment of AI systems.

What are popular job titles related to Ai Test Engineer jobs in Riverside, CA?

For Ai Test Engineer jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Ai Test Engineer jobs in Riverside, CA look for?

The top searched job categories for Ai Test Engineer jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Ai Test Engineer jobs?

Cities near Riverside, CA with the most Ai Test Engineer job openings:

Ai Test Engineer jobs near you
Infographic showing various Ai Test Engineer job openings in Riverside, CA as of July 2026, with employment types broken down into 8% Internship, 74% Full Time, and 18% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $96,009 per year, or $46.2 per hour.

Software Engineer, Test Infrastructure

FieldAI

Irvine, CA • On-site

$135K - $170K/yr

Full-time

Re-posted 17 days ago

Job description

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
What You'll Do

  • Design and build scalable test infrastructure and automation systems

  • Develop frameworks for unit, integration, and system-level testing

  • Improve reliability and coverage across simulation and real-world validation workflows

  • Build tools to support debugging, test orchestration, and failure analysis

  • Partner with engineering teams to identify gaps in testing and improve quality

  • Integrate testing into CI/CD pipelines and developer workflows

  • Improve test reliability, reduce flakiness, and increase signal from test systems

What You Bring:

  • 3+ years of experience in software engineering, test infrastructure, or automation roles

  • Strong programming skills in Python

  • Experience building testing frameworks, tools, or developer-facing systems

  • Familiarity with Linux-based development environments

  • Strong debugging and problem-solving skills

  • Experience working closely with engineering teams on system quality

What Will Set You Apart:

  • Experience testing robotics, distributed systems, or infrastructure platforms

  • Familiarity with simulation environments or system-level validation

  • Experience with CI/CD systems and large-scale test automation

  • Experience with containerization (e.g., Docker)

  • Exposure to hardware-software integrated systems

$135,000 - $170,000 a year
Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.
 
Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.
 
Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.
 
Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.
 
We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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