Software Quality Assurance Jobs in California
Software Quality Assurance jobs in California sit at the center of one of the most active technology markets in the world, with demand concentrated in software, semiconductors, biotech, and enterprise SaaS across every level from junior QA analyst to principal engineer. The largest hiring hubs are the San Francisco Bay Area, Los Angeles, and San Diego, where companies like Apple, Google, and Qualcomm maintain deep QA teams and recruit continuously. Automation testing, mobile QA, and embedded systems verification are the most sought-after specialties across California listings. Find a role that fits below and apply directly.
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Showing 5 of 52+ Software Quality Assurance jobs
NVIDIA is the world leader in GPU Computing. We are passionate about markets include gaming, automotive, vision, HPC, datacenters and networking in addition to our traditional OEM business. NVIDIA is also well positioned as the ‘AI Computing Company’, and NVIDIA GPUs are the brains powering Deep Learning software frameworks, analytics, data centers, and driving autonomous vehicles. We have some of the most experienced and dedicated people in the world working for us. If you are dedicated, forward-thinking, and hard-working technical people across countries sounds exciting, this job is for you. NVIDIA is looking for an outstanding individual who thrives in a diverse work environment, has outstanding interpersonal skills and possesses a strong sense of engagement and continuous process improvement. This candidate must have enterprise server integration, strong Linux experience, reliability testing with various telemetries, scale out cluster, test plan development, track record in developing AI tools and NLP, DevOps, CI/CD experience to join our platform SWQA team.
What you’ll be doing:
Responsible for the development and execution of NVIDIA HGX/DGX/MGX platform test plan on servers, OS, FW and CUDA SW stack from design doc.
Installing and testing various systems OS, server firmware and SW stack.
Drive support for root cause analysis on reliability and validation test failures to identify root cause(s) and achieve mitigation.
Build, develop/debug server and OS level automation front-end and back-end framework and tests
Review partner and supplier test results and prescribe additional reliability testing on components, servers, and packaging as needed.
Work in an agile software development team with very high production quality standards.
Manage bug lifecycle and collaborate with inter-groups to drive for solutions.
What we need to see:
Bachelor’s Degree (or equivalent experience) in a STEM (Science, Technology, Engineering, Math or Physics) field
5+ years proven experience; or master’s degree.
Proven years of OS and server level automation, CI/CD process and DevOps experience using Python, SHELL, Ansible, Jenkins, C/C++, Java, JavaScript
Strong server and Linux(Ubuntu, RedHat, CentOS, SuSE, Fedora and etc…) troubleshooting and debugging experience in a bare-metal and KVM/VMWare/Hyper-V environment.
Good knowledge and hands-on experience in model testing, AI tools/frameworks (TensorFlow, Pytorch, Cursor and etc…), NLP and LLM benchmarking
Experience in using AI development tools for test plans creation, test cases development and test cases automation
Strong experience in FW, BMC/OpenBMC, Network protocol, internal/external enterprise storage devices, PCIe buses and devices, IO sub-devices, CPU and memory, ACPI, UEFI spec, Redfish - huge plus
Proven years of experience in GitHub/Gitlab/Gerrit, PXE, SLURM, Stack/Kubernetes/Docker) – huge plus
Ways to stand out from the crowd:
AI related tools, LLM and NLP.
Experience working with NVIDIA GPU hardware is a strong plus.
Good to have solid understanding of virtualization in Linux (KVM, Docker orchestrated with Kubernetes)
Background in parallel programming ideally CUDA/OpenCL is a plus
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.NVIDIA is the world leader in GPU Computing. We are passionate about markets include gaming, automotive, vision, HPC, datacenters and networking in addition to our traditional OEM business. NVIDIA is also well positioned as the ‘AI Computing Company’, and NVIDIA GPUs are the brains powering Deep Learning software frameworks, analytics, data centers, and driving autonomous vehicles. We have some of the most experienced and dedicated people in the world working for us. If you are dedicated, forward-thinking, and hard-working technical people across countries sounds exciting, this job is for you. NVIDIA is looking for an outstanding individual who thrives in a diverse work environment, has outstanding interpersonal skills and possesses a strong sense of engagement and continuous process improvement. This candidate must have enterprise server integration, strong Linux experience, reliability testing with various telemetries, scale out cluster, test plan development, track record in developing AI tools and NLP, DevOps, CI/CD experience to join our platform SWQA team.
What you’ll be doing:
Responsible for the development and execution of NVIDIA HGX/DGX/MGX platform test plan on servers, OS, FW and CUDA SW stack from design doc.
Installing and testing various systems OS, server firmware and SW stack.
Drive support for root cause analysis on reliability and validation test failures to identify root cause(s) and achieve mitigation.
Build, develop/debug server and OS level automation front-end and back-end framework and tests
Review partner and supplier test results and prescribe additional reliability testing on components, servers, and packaging as needed.
Work in an agile software development team with very high production quality standards.
Manage bug lifecycle and collaborate with inter-groups to drive for solutions.
What we need to see:
Bachelor’s Degree (or equivalent experience) in a STEM (Science, Technology, Engineering, Math or Physics) field
5+ years proven experience; or master’s degree.
Proven years of OS and server level automation, CI/CD process and DevOps experience using Python, SHELL, Ansible, Jenkins, C/C++, Java, JavaScript
Strong server and Linux(Ubuntu, RedHat, CentOS, SuSE, Fedora and etc…) troubleshooting and debugging experience in a bare-metal and KVM/VMWare/Hyper-V environment.
Good knowledge and hands-on experience in model testing, AI tools/frameworks (TensorFlow, Pytorch, Cursor and etc…), NLP and LLM benchmarking
Experience in using AI development tools for test plans creation, test cases development and test cases automation
Strong experience in FW, BMC/OpenBMC, Network protocol, internal/external enterprise storage devices, PCIe buses and devices, IO sub-devices, CPU and memory, ACPI, UEFI spec, Redfish - huge plus
Proven years of experience in GitHub/Gitlab/Gerrit, PXE, SLURM, Stack/Kubernetes/Docker) – huge plus
Ways to stand out from the crowd:
AI related tools, LLM and NLP.
Experience working with NVIDIA GPU hardware is a strong plus.
Good to have solid understanding of virtualization in Linux (KVM, Docker orchestrated with Kubernetes)
Background in parallel programming ideally CUDA/OpenCL is a plus
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.See All 52 Software Quality Assurance Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find JobsSoftware Quality Assurance Jobs by City in California
Where California roles are concentrated, by current openings.
Software Quality Assurance Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software13
- Electronics & Hardware5
- Cybersecurity3
- Energy1
- Telecommunications1
What California Employers Look For
The qualifications that appear most often in software quality assurance jobs across California.
- Bachelor's degree in computer science, engineering, or a related technical field
- Hands-on experience with test automation frameworks such as Selenium or Appium
- Proficiency writing and executing test plans, test cases, and defect reports
- Experience with CI/CD pipelines and tools like Jenkins, GitHub Actions, or CircleCI
- Familiarity with Agile or Scrum development processes and sprint-based testing cycles
- ISTQB Certified Tester or equivalent QA certification preferred by California employers
Software Quality Assurance Jobs in California: Frequently Asked Questions
How do you become a software quality assurance in California?
California has no state-issued license for software quality assurance roles, so the path runs through education and certification. Most employers expect a bachelor's degree in computer science, software engineering, or information systems. The ISTQB Certified Tester Foundation Level is the most widely recognized credential California hiring managers look for and can be earned without prior work experience. Building a portfolio of test plans and automation scripts strengthens applications at every level.
How much do software quality assurances make in California?
Software quality assurances in California earn a median of about $128,740 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $65,890 for the lowest 10% to over $201,070 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire software quality assurances in California?
Employers hiring software quality assurances in California right now include NVIDIA, Apple, and Fortinet, based on current listings on Migrate Mate as of August 2026. California's concentration of semiconductor, enterprise software, and consumer technology companies means QA roles here often require both manual and automated testing depth.
Which California cities have the most software quality assurance jobs?
The cities with the most software quality assurance openings in California are Sunnyvale, Santa Clara, and Cupertino. The Bay Area leads because of its density of product-driven tech companies and semiconductor firms, while Los Angeles reflects growth in entertainment technology and enterprise software, and San Diego's openings are largely driven by defense contractors and biotech companies that rely heavily on embedded and regulated-software QA.
Are there remote software quality assurance jobs in California?
Yes, and more than most fields. Software quality assurance is largely desk-based and tooling-driven, which makes it well suited to remote work. About 24% of software quality assurance openings tied to California are remote or hybrid as of August 2026, reflecting how widely distributed QA teams have become since the shift to distributed engineering. Test automation and API testing roles tend to be the most consistently remote, while hardware validation and on-device testing roles are more likely to require on-site presence.
How can I get hired as a software quality assurance in California with little or no experience?
The most realistic entry path is targeting junior QA analyst or QA engineer associate roles at mid-size California software companies, where structured onboarding is more common than at startups. Large California employers like Salesforce and Adobe run new-grad rotational programs that include QA tracks. Moving laterally from a technical support, business analyst, or developer role within a company is another proven route. Earning the ISTQB Foundation certificate and publishing test automation projects on a public code repository gives candidates a concrete edge over other applicants without professional QA experience.
Where can I find and apply to software quality assurance jobs in California?
You can find and apply to software quality assurance jobs in California on Migrate Mate, which lists current California openings across industries and experience levels. Find roles that fit your background and apply directly from the listing.
See All 52 Software Quality Assurance Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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