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Meta Testing Jobs in California (NOW HIRING)

Meta

Sensor Hardware Engineer

Sunnyvale, CA · On-site

$173K/yr

Meta Reality Labs is building products that make it easier for people to connect with the ones they ... testing * Perform static, dynamic, structural and thermal-mechanical analyses to guide design ...

Meta

GA

$114K/yr

Meta is seeking a data center Electrical Subject Matter Expert (SME) to join our Data Center ... National Electrical Testing Association (NETA) or National Institute for Certification in ...

Meta

Production Engineer, Network

Menlo Park, CA

$154K/yr

Meta is seeking a Production Engineer with in-depth understanding of networking, systems ... Lead enhancements of automation for continuous integration, validations, testing infrastructure ...

Meta

Product Quality Engineer

Fremont, CA · On-site

$144K/yr

Meta's Manufacturing Quality Engineering team is building the infrastructure that powers AI at a ... Working knowledge of hardware architecture with hands-on experience in the testing and validation ...

Meta

Camera System Engineer

Sunnyvale, CA

$144K/yr

Meta's Reality Lab designs and manufactures camera, depth sensing, and illuminators for Meta's AR ... Conduct detailed DFMEA and PFMEA * own failure analysis and optical testing of the module * Analyze ...

Meta

Camera System Engineer

Sunnyvale, CA · On-site

$144K - $204K/yr

Meta's Reality Lab designs and manufactures camera, depth sensing, and illuminators for Meta's AR ... testing, quality, reliability, system hardware and software engineering, etc., to ensure that the ...

Meta

Systems Integration Engineer

Menlo Park, CA · On-site

$173K/yr

Meta is seeking a forward-thinking, experienced engineer with deep technical leadership experience ... Lead the development and execution of Data Center readiness tooling validation testing based on ...

Meta

Sensor Hardware Engineer

Sunnyvale, CA · On-site

$173K - $245K/yr

Meta Reality Labs is building products that make it easier for people to connect with the ones they ... testing • Perform static, dynamic, structural and thermal-mechanical analyses to guide design ...

Meta

EMC Design Engineer

Sunnyvale, CA · On-site

$173K/yr

As an EMC Design Engineer on Meta's Wearables Product Team, you will work directly with the ... testing, ensuring that simulation results correlate with real-world performance and driving ...

Meta

Software Engineer, Infrastructure

Menlo Park, CA · On-site +1

$183K/yr

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout ...

Meta

Software Engineer, Product

Los Angeles, CA · On-site +1

$183K/yr

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout ...

Meta

Product Manager

Menlo Park, CA · On-site

$205K/yr

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and ... Drive decision-making through user insights, quantitative analysis and AB testing * Maximize ...

Meta

Software Engineer, Infrastructure

Sunnyvale, CA · On-site +1

$183K/yr

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout ...

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Showing results 21-40

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Meta Testing information

What is meta testing?

Meta Testing refers to the process of evaluating the effectiveness and reliability of testing methods or testing frameworks themselves, rather than the product or software being tested. This can involve analyzing test strategies, tools, or methodologies to ensure they deliver accurate and meaningful results. Meta Testing helps organizations optimize their quality assurance processes by identifying gaps or inefficiencies in their testing approaches. It is particularly useful in complex or large-scale software projects where testing practices need continual improvement.

What are the key skills and qualifications needed to thrive as a meta tester?

To thrive as a Meta Tester, you need a solid understanding of software testing principles, attention to detail, and experience with quality assurance methodologies, typically supported by a degree in computer science or a related field. Familiarity with test management tools, bug tracking systems like Jira, and automation frameworks such as Selenium is commonly required. Strong analytical thinking, effective communication, and problem-solving skills help Meta Testers collaborate with development teams and identify user experience issues. These skills ensure that software products meet quality standards and function reliably for end users.

What are some common challenges faced by professionals working in meta testing, and how can they be addressed?

Professionals in Meta Testing often encounter challenges such as rapidly evolving testing frameworks, ensuring compatibility across multiple platforms, and maintaining clear communication with cross-functional teams. Staying current with the latest testing tools and methodologies is crucial, as is developing strong documentation skills to track test cases and results. Regular collaboration with developers and product managers helps to clarify requirements and quickly resolve issues, fostering a more efficient and supportive work environment.

What is the difference between Meta Testing vs QA Tester?

AspectMeta TestingQA Tester
Primary FocusEvaluating the testing process, tools, and strategies used in software developmentExecuting test cases to identify bugs and ensure software quality
Required SkillsTesting methodologies, process improvement, understanding of testing toolsTest execution, defect reporting, attention to detail
Work EnvironmentOften involved in test planning, process audits, and team coordinationHands-on testing in development or QA teams
CertificationsISTQB, CSTE often preferredISTQB, CSQA beneficial but not mandatory

Meta Testing focuses on improving and evaluating testing processes, while QA Testers are responsible for executing tests and finding bugs. Both roles require similar certifications and work in the software quality industry, but their core responsibilities differ significantly.

What are the most commonly searched types of Meta Testing jobs in California?

The most popular types of Meta Testing jobs in California are:

What are popular job titles related to Meta Testing jobs in California?

For Meta Testing jobs in California, the most frequently searched job titles are:

What job categories do people searching Meta Testing jobs in California look for?

The top searched job categories for Meta Testing jobs in California are:

What cities in California are hiring for Meta Testing jobs?

Cities in California with the most Meta Testing job openings:

Meta Testing jobs near you
Infographic showing various Meta Testing job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Software Engineer, Systems & ML Infrastructure - MSL FAIR Foundations

Meta

Menlo Park, CA • On-site

$154K/yr

Full-time

Posted 11 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies

Job description

Meta is seeking Software Engineers to join the Frontier Evals Research team within Meta Superintelligence Labs. Evaluations are a critical part of AI progress at Meta Superintelligence Labs, determining what capabilities get built, which features get prioritized, and how quickly our models improve. As a Systems and ML Infrastructure Engineer on this team, you will build the platforms and services that enable reliable evaluation of our most advanced AI models across text, vision, audio, and beyond. You'll work alongside researchers and engineers to turn rapidly evolving research workflows into scalable, dependable infrastructure.This is a highly technical software engineering role focused on distributed systems, developer infrastructure, and production-grade ML platforms. You will design and own systems for scheduling and executing evaluation workloads, managing datasets and model artifacts, monitoring correctness and performance, and making results reproducible and easy to consume. The infrastructure you build will directly support research decisions and major model lines within MSL, making reliability, scalability, operational excellence, and engineering rigor paramount.You will succeed by moving quickly in an open-ended research environment while building durable systems, reducing operational toil, and creating abstractions that help researchers iterate faster. If you are passionate about building the technical foundation for frontier AI development and thrive in fast-paced, high-impact environments, we encourage you to apply.
Software Engineer, Systems & ML Infrastructure - MSL FAIR Foundations Responsibilities:
  • Design, build, and operate scalable infrastructure for running evaluations across large model fleets, datasets, modalities, and compute environments
  • Develop orchestration, scheduling, data, and artifact-management systems that make the evaluation workflows reliable and reproducible
  • Build APIs, abstractions, and developer tools that allow researchers to launch, debug, compare, and interpret evaluations efficiently
  • Improve system reliability through testing, observability, capacity planning, performance optimization, and automated failure recovery
  • Partner with research and engineering teams to translate new evaluation requirements into reusable platform capabilities

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 3+ years of software engineering experience in building backend, distributed, data, or machine learning infrastructure
  • Proficiency in Python, C++, or another systems programming language
  • Experience designing, implementing, and operating reliable services, platforms, or data-processing systems
  • Experience independently delivering medium- to large-scale technical projects from design through production operation
  • Demonstrated knowledge of software engineering practices, including testing, code review, observability, incident response, and performance analysis
  • Ability to work effectively with researchers and engineers and to adapt to rapidly changing requirements

Preferred Qualifications:
  • Experience building infrastructure for large-scale machine learning training, inference, evaluation, or data processing
  • Experience with distributed compute systems, workflow orchestration, containers, cluster schedulers, or cloud infrastructure
  • Experience with performance profiling, resource efficiency, reliability engineering, and production observability
  • Familiarity with language model post-training workflows, including supervised fine-tuning, reinforcement learning, evaluation, and inference, and the infrastructure needed to support them at scale
  • Experience building internal platforms or developer tools used by multiple teams in fast-moving technical environments

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$154,003/year to $217,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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