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Software Qa Analyst Remote Jobs in California (NOW HIRING)

Amat

Software Engineer QA (E3)

Santa Clara, CA · On-site +1

$124K - $171K/yr

Analyze test results, identify gaps, and drive corrective and preventive actions for quality ... Deep knowledge in software testing, automation frameworks, and quality engineering practices

Arbital Health

QA Automation Engineer

San Francisco, CA · On-site +1

$140K - $160K/yr

You will collaborate closely with developers and product teams to analyze requirements, design ... The opportunity to build a critical software platform that accelerates the American healthcare ...

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Software Qa Analyst Remote information

What is a software QA analyst remote?

Software QA Analysts (Remote) are professionals who work from a remote location to ensure the quality and functionality of software applications. Their primary responsibilities include designing and executing test plans, identifying bugs or issues, and collaborating with developers to resolve problems. They use a variety of testing methods such as manual and automated testing to verify that software products meet specified requirements. By working remotely, they leverage digital communication and project management tools to stay connected with their team and manage tasks effectively.

What are the key skills and qualifications needed to thrive as a software QA analyst remote?

To thrive as a Software QA Analyst (Remote), you need a solid understanding of software testing methodologies, attention to detail, and experience with manual and automated testing, usually supported by a degree in computer science or related field. Familiarity with testing tools like Selenium, JIRA, and test management systems, as well as ISTQB certification, are commonly required. Strong communication, problem-solving skills, and self-motivation are essential for collaborating effectively and working independently in a remote environment. These skills ensure the delivery of high-quality software products and seamless coordination with distributed development teams.

What are some common challenges faced by remote software QA analysts, and how can they be addressed?

Remote Software QA Analysts often face challenges related to communication, collaboration, and access to development environments. To overcome these, it’s important to establish clear channels for regular updates with developers and product managers, utilize project management and bug-tracking tools, and ensure secure remote access to necessary testing environments. Proactively documenting test cases and clarifying requirements can also help maintain quality and alignment with the team. Building strong relationships through scheduled video meetings can further enhance teamwork and efficiency.

What is the difference between Software Qa Analyst Remote vs Software Tester Remote?

AspectSoftware Qa Analyst RemoteSoftware Tester Remote
Required CredentialsQA certifications, testing tools knowledgeBasic testing skills, sometimes certifications
Work EnvironmentCollaborative, often part of QA teamsIndependent or team-based testing tasks
Employer & Industry UsageTech, software development companiesTech, startups, software firms
Common Search & ComparisonYesYes

Software Qa Analysts Remote typically have a broader role involving test planning, quality assurance processes, and defect tracking, often requiring QA certifications. Software Testers Remote focus mainly on executing test cases and identifying bugs, sometimes with fewer certifications. Both roles are common in tech industries and often work remotely, but Qa Analysts usually have more responsibilities related to quality strategy.

What are the most commonly searched types of Software Qa Analyst jobs in California?

The most popular types of Software Qa Analyst jobs in California are:

What are popular job titles related to Software Qa Analyst Remote jobs in California?

For Software Qa Analyst Remote jobs in California, the most frequently searched job titles are:

What job categories do people searching Software Qa Analyst Remote jobs in California look for?

The top searched job categories for Software Qa Analyst Remote jobs in California are:

What cities in California are hiring for Software Qa Analyst Remote jobs?

Cities in California with the most Software Qa Analyst Remote job openings:

Software Qa Analyst Remote jobs near you
Infographic showing various Software Qa Analyst Remote job openings in California as of August 2026, with employment types broken down into 1% As Needed, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Staff Software Quality Safety Operations Specialist

Waymo

Mountain View, CA • On-site

Full-time

Posted 18 days ago

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
The Software Quality Operations (SWQOps) team is at the heart of ensuring the safety, reliability, and quality of the Waymo Driver. Our mission is to build an adaptable and scalable operation, increasingly powered by AI, to deliver the crucial insights necessary to confidently deploy and grow Waymo's autonomous vehicle service.
Why This Team is Essential to Waymo's Success:
Waymo is undergoing unprecedented growth, rapidly expanding into new cities (targeting ~20 new cities by EOY 2026) and launching new vehicle platforms. SWQ Ops plays a critical role in this expansion, making it possible to scale safely and efficiently. The Safety Operations team within SWQ Ops owns the scale delivery of datasets and methodologies used to evaluate the Safety and performance of the driver as Waymo continues to scale. We are on the front lines of:
  • De-risking New Deployments: Through meticulous triage of driving and simulated events, issue discovery, and continuous field monitoring, SWQOps provides early warnings and critical insights. This "early intervention in RO issue detection" ensures operational resilience and safety, particularly in new and complex environments, which is critical as Waymo enters multiple new cities and ramps up platforms like Ojai.
  • Driving Engineering Velocity: By handling the vital work of performance evaluation, issue deep-dives, and data set curation, SWQOps collaborates heavily and allows Waymo's Engineering, SysEng, Simulation, and Data Science teams to focus on their core tasks of developing and improving the Waymo Driver.
  • Enabling Market Expansion: Our team is deeply integrated into every stage of Waymo's market entry framework, from initial city evaluation (OK2Plan) to scaling operations (OK2Scale). We provide the necessary data analysis, policy development, and quality assurance to unblock critical milestones, preventing slowdowns in market expansion velocity.
  • Data Flywheel: Supporting the development of a single, automated, end-to-end machine learning flywheel for the entire Waymo Driver. A successful flywheel will be the core engine for scaling our technology, enabling faster ODD expansion, quicker remediation of driving issues, and a significant reduction in the engineering effort required to maintain and improve the driver.

You will:
  • Drive the strategy and technical implementation of decomposing complex safety triage workflows. Develop and apply advanced operational and ML techniques to enable automation, ensuring scalability as mileage and geographic operations expand.
  • Serve as the subject matter expert for human-in-the-loop ML systems in the safety problem space. Define and refine requirements for generating high-quality, dense, and broad human feedback to optimize ML models performance.
  • Partner with Engineering to design, test, and deploy cutting-edge Machine Learning (ML) and Generative AI (Gen-AI) models and tools to drive step-change improvements in issue discovery & detection, triage efficiency, and quality assurance.
  • Leverage AI-powered insights and traditional triage signals to proactively identify emerging on-road issue trends, new risk scenarios, and edge cases. Develop and refine data-driven strategies for issue discovery and monitoring, enhanced by ML model outputs.
  • Serve as the key link between AI/ML development and operational execution. Author and drive the adoption of foundational technical policies and standards, strategic roadmaps, and process blueprints that enable the organization to scale and support stakeholder needs.
  • Advise senior stakeholders on the long-term technical strategy and operational capabilities of the organization, serving as a trusted partner for critical decisions.

You have:
  • BS/BA degree or 7+ years of relevant work experience in AV Software Quality Operations / ML Operations
  • Proven ability to manage complex, technical projects and experience working across technical partners (Product, Engineering, Data Science, Systems Engineering) to drive outcomes.
  • Increased competency in supporting all phases of the machine learning development lifecycle, from data preparation and training to validation, deployment, and continuous monitoring.
  • Experience with ML testing and validation, including dataset quality assurance, bias detection, edge-case scenario testing, and performance evaluation using statistical metrics.
  • Ability to quickly learn and implement new concepts and utilize proprietary tools. Strong understanding of driving rules and regulations.
  • A proven ability to work in a fast-paced, high-stress environment while maintaining good judgment
  • Excellent communication and interpersonal skills to effectively collaborate with a wide range of individuals in a diverse and dynamic work environment.

We prefer:
  • Undergraduate in technical degree preferred.
  • Experience within A / V space.
  • Competency in LLM / transformer models, and / or ML for robotics domain experience.
  • Competency in SQL querying / data analysis.
  • Experience working with offshore teams / multiple local operations hubs.

Please note that Waymo may not be able to employ remotely in all locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process.
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range
$190,000-$234,000 USD

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