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Test Development Jobs in California (NOW HIRING)

As the Lead Test Development Engineer, you will lead all aspects of test engineering, work with contract manufacturers, for our high-power CW lasers and their packages. This position demands a hands ...

Product Test Development Engineer

San Jose, CA ยท Hybrid

$168K - $241K/yr

Your Impact You will be a Product Test Engineer in Silicon Operations focusing on leading the design, development, and testing of Cisco's cutting-edge Silicon One ASICs. Collaborate closely with ...

Head of Test Development Engineering Summary The Head of Product Development Engineering will be responsible for taking Ethernovia's products from NPI to HVM. This position requires a leader who is ...

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Test Development information

What is test development?

Test development is the process of designing, creating, and validating assessment tools such as exams, quizzes, or standardized tests. This process involves defining the purpose of the test, constructing test items, reviewing them for quality, and conducting statistical analyses to ensure reliability and validity. Test developers often work in educational, psychological, or professional certification contexts to measure knowledge, skills, or abilities accurately. The goal is to create fair, unbiased tests that provide meaningful information about the test takers.

What are the key skills and qualifications needed to thrive in test development?

To excel in Test Development, strong analytical skills, a background in educational measurement or psychometrics, and a relevant degree such as education, psychology, or statistics are essential. Familiarity with test authoring platforms, statistical analysis software (like SPSS or R), and knowledge of standards such as item response theory (IRT) are typically required. Attention to detail, critical thinking, and effective collaboration are key soft skills for designing fair and valid assessments. These skills ensure the creation of reliable, unbiased, and meaningful tests that accurately measure intended outcomes.

What are some common challenges faced in a test development role, and how can they be addressed?

One common challenge in Test Development is ensuring that assessments are both valid and reliable while meeting tight deadlines. Balancing subject matter expertise with psychometric principles can also be demanding, particularly when collaborating with content experts and statisticians. Clear communication, careful project planning, and continuous professional development help address these challenges. Additionally, staying updated on assessment standards and using feedback from pilot tests can greatly improve test quality.

What is the difference between Test Development vs Test Analysis?

AspectTest DevelopmentTest Analysis
Primary FocusDesigning and creating tests and assessmentsInterpreting test results and analyzing data
Required SkillsCurriculum design, item writing, psychometricsData analysis, statistical skills, reporting
Work EnvironmentEducational institutions, testing companiesResearch organizations, educational settings
CertificationsPsychometric certifications often preferredData analysis or psychometric certifications

Test Development focuses on creating assessments, while Test Analysis involves interpreting results and analyzing data. Both roles are essential in the testing industry, often working together to ensure valid and reliable assessments.

What are the most commonly searched types of Test Development jobs in California?

The most popular types of Test Development jobs in California are:

Infographic showing various Test Development job openings in California as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Senior SWQA Test Development Engineer

NVIDIA Gruppe

Santa Clara, CA โ€ข On-site

$168 - $270.25/hr

Other

Posted 3 days ago

New


Job description

NVIDIA is the world leader in accelerated computing and AI. Our technologies power the most advanced AI platforms, including NeMo microservices and NVIDIA Inference Microservices (NIM), enabling scalable, productionโ€‘grade AI deployment across cloud and enterprise environments. We are looking for a senior, technically strong test development engineer to drive quality, automation, and technical leadership in this rapidly evolving space.

What Youโ€™ll Be Doing
  • Own and drive endโ€‘toโ€‘end quality from design through release and production readiness
  • Lead test strategy, planning, and execution across functional, integration, system, performance, and reliability testing
  • Design, build, and maintain test frameworks and automation for microserviceโ€‘based, containerized AI systems
  • Provide technical leadership and mentorship to less senior engineers including guiding test design, automation practices, and quality standards
  • Partner closely with cross functional teams to influence architecture and improve testability
  • Validate LLM and AI inference workflows, including model lifecycle, APIs, CLIs, deployment configurations, and scaling scenarios
  • Drive defect triage, rootโ€‘cause analysis, and quality metrics, ensuring issues are addressed systematically and efficiently
  • Leverage AIโ€‘assisted testing techniques to improve coverage, efficiency, and signalโ€‘toโ€‘noise in test results
What We Need to See
  • BS or higher degree in CS/EE/CE majors (or equivalent experience)
  • 8+ years of experience in software development, test development, or quality engineering roles
  • Strong proficiency in Python and test automation frameworks
  • Experience testing distributed systems, microservices, or cloudโ€‘native platforms
  • Solid understanding of Linux, Docker, Kubernetes, and CI/CD pipelines
  • Proven ability to lead technically, review designs, and mentor other engineers
  • Strong debugging skills and ability to reason about complex, systemโ€‘level failures
  • Excellent communication skills and experience working across geographically distributed teams
Ways to Stand Out from the Crowd
  • Experience testing AI/ML platforms, LLM pipelines, or inference services
  • Handsโ€‘on exposure to NeMo, NIM, or modelโ€‘asโ€‘aโ€‘service platforms
  • Experience with performance, scale, and reliability testing in productionโ€‘like environments
  • Applying AI tools to enhance test development, automation, and diagnostics
  • Prior ownership of quality for customerโ€‘facing or productionโ€‘critical services

At NVIDIA, quality is foundational. This role offers the opportunity to set the quality bar for NVIDIAโ€™s nextโ€‘generation AI microservices, influence architecture, and lead othersโ€”while working alongside some of the best engineers in the industry.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

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