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

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'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 ...

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 ...

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 ...

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

SDET, Remote opportunity

Irvine, CA · On-site +1

$130K - $145K/yr

AI-first team where tooling and process are built around accelerating delivery * Competitive salary ... T work * Strong coding skills in TypeScript/JavaScript, Python, Java, or C#, with hands-on ...

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Ai Test Engineer information

See Riverside, CA salary details

$18

$46

$77

How much do ai test engineer jobs pay per hour?

As of Sep 7, 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 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 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 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 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.

How do I become an AI Test Engineer?

To become an AI Test Engineer, candidates typically need a strong background in computer science, software testing, or related fields, along with knowledge of AI and machine learning concepts. Skills in programming languages such as Python or Java, experience with testing tools, and understanding of AI model evaluation are essential. Earning relevant certifications and gaining experience in software development and testing environments can also improve job prospects.

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:

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.

Sr. Reliability Test Engineer

LMK Recruiting Solutions

Irvine, CA • On-site

$150K - $250K/yr

Full-time

Re-posted 25 days ago


Job description

Aerospace is at a turning point — costs are rising, supply chains are strained, and old ways of building can't keep up. At Neon Aero, we're breaking that mold. We move fast, think big, and combine start-up agility with aerospace expertise to design, build, and scale aircraft in ways the industry has never seen. Our team leverages automation, AI-driven tools, and a fully connected digital backbone to accelerate innovation and reduce barriers to production.

Here, you won't just take a job — you'll help reinvent how the world flies. If you're ready to solve complex problems, push technology further, and work alongside some of the brightest minds in aerospace, this is your chance to make a real impact.

We are seeking a Senior Reliability Test Engineer to define, build, and execute reliability and validation testing across complex electromechanical systems.

This role sits within the systems development team and is responsible for ensuring that our products meet fundamental performance, durability, and operational requirements through rigorous engineering validation and characterization. You will own reliability test strategy, lab infrastructure, and execution for systems including electromechanical actuators, thermal management systems, and hybrid power platforms.

Your work will expose failure modes early, quantify design risk, and generate the data required to drive confident engineering decisions. While you will not own design directly, your test strategy, observations, and insights will materially influence engineering tradeoffs and system direction.

This is not a certification role. It is engineering-driven validation focused on breaking systems, understanding real-world behavior, and ensuring designs are ready before formal qualification (e.g., DO-160 and related standards). The role operates upstream of certification, but also plays a critical part during certification by providing high-confidence data, validating assumptions, and helping streamline products through the qualification process in close partnership with systems and certification teams.

We are intentionally breaking from traditional aerospace development models. Rather than relying on extended analysis followed by a single certification-bound prototype, we build and test multiple prototypes early to uncover issues quickly and iterate based on real data. This role is central to that approach.

This is the first senior hire in reliability and validation. You will define how this function operates from test philosophy and infrastructure to execution and scaling, establishing the foundation for how the company validates hardware as it grows.

Key Responsibilities Reliability Strategy & Test Development
  • Define reliability and validation test strategies for complex electromechanical systems based on system requirements and expected use conditions
  • Translate engineering requirements into structured, executable test plans and success criteria
  • Develop test methodologies to characterize performance, durability, and environmental robustness
  • Design tests to uncover edge cases, failure modes, and system limitations early in development
Test Infrastructure & Lab Development
  • Build and scale internal reliability lab capabilities, including test stands, fixtures, instrumentation, and data acquisition systems
  • Define lab workflows, safety practices, and repeatable test processes
  • Select, procure, and integrate test equipment required for mechanical, electrical, and environmental testing
  • Establish calibration, data integrity, and test traceability practices
Hands-On Test Execution
  • Lead execution of reliability and characterization testing on prototype hardware
  • Instrument systems and test setups to capture meaningful, high-quality data
  • Run mechanical, thermal, electrical, and combined stress tests across relevant operating conditions
  • Adapt test approaches dynamically based on observed behavior and emerging risks
External Test Management
  • Manage external test vendors (e.g., environmental and specialized test labs)
  • Define test scopes, review setups, and ensure alignment with internal objectives
  • Evaluate test quality, data validity, and adherence to intended conditions
  • Integrate external results into overall validation strategy
Data Analysis & Risk Assessment
  • Analyze test data to quantify performance margins, degradation trends, and reliability risks
  • Apply statistical methods where appropriate to understand variability and confidence levels
  • Communicate clear, actionable insights to engineering teams and leadership
  • Provide structured assessments of design readiness and residual risk
Cross-Functional Collaboration
  • Partner closely with Systems, Mechanical, and Electrical Engineering teams
  • Support failure investigations by providing high-quality test data and observations
  • Contribute to pre-certification readiness by validating designs against expected environmental and operational conditions
  • Ensure alignment between test strategy and system-level requirements
Required Qualifications
  • Minimum of 8 years of experience in reliability engineering, validation testing, or system-level hardware testing
  • Experience developing and executing test strategies for complex electromechanical systems
  • Hands-on experience building and operating test setups, fixtures, and instrumentation
  • Strong understanding of mechanical, electrical, and environmental stress testing methods
  • Experience working with external test labs and managing outsourced test campaigns
  • Ability to translate requirements into structured test plans and measurable outcomes
  • Strong data analysis and problem-solving skills with the ability to interpret complex test results
  • Comfortable working hands-on in lab environments with prototype hardware
  • Strong communication skills with the ability to convey technical findings clearly
Preferred Experience
  • Experience with aerospace, automotive, robotics, or consumer hardware systems
  • Familiarity with environmental and reliability standards such as DO-160 or similar frameworks
  • Experience with accelerated life testing, fatigue testing, and environmental stress testing
  • Background in statistical analysis methods (e.g., Weibull analysis, DOE, JMP, Python, MATLAB)
  • Experience testing actuator systems, motor-driven systems, or power electronics
  • Experience building new lab capabilities or scaling test infrastructure from early-stage environments
What We Value
  • Engineers who use testing to uncover truth not to confirm assumptions
  • Deep belief that models are useful, but reality is decisive
  • Bias toward action build the test, run it, learn, iterate
  • Comfort breaking hardware to understand it
  • Strong systems intuition understanding how complex systems behave outside ideal conditions
  • Ability to operate in ambiguity and create structure where none exists
  • Practical, hands-on mindset capable of building rigs, not just writing plans
  • Low ego, high ownership driven by outcomes, not role boundaries
Why This Role Matters

This role defines how we validate our products before they reach certification and production.

Your work will determine whether systems behave as expected under real-world conditions, uncover failure modes early, and provide the data needed to make critical engineering decisions with confidence.

You will help build the reliability function from the ground up and establish the foundation for how we test, learn, and improve across all product lines.

This is the expected compensation range for this role. Final compensation will be based on role scope, experience, skills, internal equity and location. This role may also be eligible for bonus/equity/benefits, if applicable.

$150,000 - $250,000 USD

Neon Aero, Inc is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, disability, veteran status, or any other protected status under applicable law.

We believe that diverse perspectives drive innovation, and we welcome candidates from all backgrounds to apply.

All final candidates must successfully complete a background check and drug screening as a condition of employment.