QA Test Engineer Visa Sponsorship Jobs in California
California is one of the strongest states for QA test engineer visa sponsorship, driven by concentrated tech hiring across Silicon Valley, San Francisco, Los Angeles, and San Diego. Major employers include Apple, Google, Salesforce, and Qualcomm. The state's depth of software and hardware companies creates consistent demand for QA professionals requiring H-1B visa and other work visa sponsorship.
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Get Access To All JobsAre you passionate about inspiring change, building data driven tools to improve software quality, and ensuring customers have the best experience? If so, we have a phenomenal opportunity for you! NVIDIA is seeking a creative, and hands-on software engineer with a test to failure approach who is a quick learner, can understand software and hardware specifications, build reliable tests and tools C++/C#/Python to improve quality and accelerate delivery of GeForce NVIDIA products. The successful candidate will demonstrate substantial experience with AI technologies for automation of test cases, as well as an in-depth understanding of both Windows and Linux operating systems.
What You’ll Be Doing
As a Software Development Engineer in Test, you will take part in technical design and implementation of tests for NVIDIA software products with the goal to identify defects early in the software development lifecycle. You will also build tools that accelerate execution workflows for the organization. In this role you can expect to:
- Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on various Windows and Linux operating systems.
- Develop automated end to end tests for NVIDIA device driver and SDKs on windows platform. Execute manual and automated tests, identify, and report defects. Measure code coverage, analyze and drive code coverage improvements.
- Develop applications and tools that bring data driven insights to development and test workflows.
- Build tools/utility/framework in Python / C / C++ which would help automate and optimize the testing workflows in GPU domain.
- Write maintainable, reliable, and well detailed code. Debug issues to identify the root cause. Provide peer code reviews including feedback on performance, scalability, and correctness.
- Optimally estimate and prioritize tasks in order to create a realistic delivery schedule and work on challenging technical and process issues.
- Generate and test compatibility across a range of products and interfaces.
- Work closely with leadership to report progress by generating effective and impactful reports.
What We Need To See
- B.E./B. Tech degree in Computer Science/IT/Electronics engineering with strong academics or equivalent experience.
- 5+ years of programming experience in Python/C/C++ with experience in applying Object-Oriented Programming concepts.
- Hands-on knowledge of developing Python scripts with application development concepts like dictionaries, tuples, RegEx, PIP etc.
- Good experience with using AI development tools for test plans creation, test cases development and test cases automation.
- Experience with testing RESTful APIs and the ability to conduct performance and load testing to ensure the application can handle high traffic and usage.
- Experience working with databases and storage technologies like SQL and Elasticsearch.
- Good understanding of OS fundamentals, PC Hardware and troubleshooting.
- Skillful at debugging issues and have experience using debugging tools like WinDBG/gdb.
- Working knowledge of GPUs devices and technologies like DLSS, Frame Generation, Reflex, CUDA, G-Sync, etc.
- The ability to collaborate with multiple development teams to gain knowledge and improve test code coverage.
Ways To Stand Out From The Crowd
- Prior project experience with building ML and DL based applications would be a plus.
- Good understanding of testing fundamentals.
- Good problem solving skills (solid logic to apply in isolation and regression of issues found).
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until May 26, 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.
JR2011328
Are you passionate about inspiring change, building data driven tools to improve software quality, and ensuring customers have the best experience? If so, we have a phenomenal opportunity for you! NVIDIA is seeking a creative, and hands-on software engineer with a test to failure approach who is a quick learner, can understand software and hardware specifications, build reliable tests and tools C++/C#/Python to improve quality and accelerate delivery of GeForce NVIDIA products. The successful candidate will demonstrate substantial experience with AI technologies for automation of test cases, as well as an in-depth understanding of both Windows and Linux operating systems.
What You’ll Be Doing
As a Software Development Engineer in Test, you will take part in technical design and implementation of tests for NVIDIA software products with the goal to identify defects early in the software development lifecycle. You will also build tools that accelerate execution workflows for the organization. In this role you can expect to:
- Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on various Windows and Linux operating systems.
- Develop automated end to end tests for NVIDIA device driver and SDKs on windows platform. Execute manual and automated tests, identify, and report defects. Measure code coverage, analyze and drive code coverage improvements.
- Develop applications and tools that bring data driven insights to development and test workflows.
- Build tools/utility/framework in Python / C / C++ which would help automate and optimize the testing workflows in GPU domain.
- Write maintainable, reliable, and well detailed code. Debug issues to identify the root cause. Provide peer code reviews including feedback on performance, scalability, and correctness.
- Optimally estimate and prioritize tasks in order to create a realistic delivery schedule and work on challenging technical and process issues.
- Generate and test compatibility across a range of products and interfaces.
- Work closely with leadership to report progress by generating effective and impactful reports.
What We Need To See
- B.E./B. Tech degree in Computer Science/IT/Electronics engineering with strong academics or equivalent experience.
- 5+ years of programming experience in Python/C/C++ with experience in applying Object-Oriented Programming concepts.
- Hands-on knowledge of developing Python scripts with application development concepts like dictionaries, tuples, RegEx, PIP etc.
- Good experience with using AI development tools for test plans creation, test cases development and test cases automation.
- Experience with testing RESTful APIs and the ability to conduct performance and load testing to ensure the application can handle high traffic and usage.
- Experience working with databases and storage technologies like SQL and Elasticsearch.
- Good understanding of OS fundamentals, PC Hardware and troubleshooting.
- Skillful at debugging issues and have experience using debugging tools like WinDBG/gdb.
- Working knowledge of GPUs devices and technologies like DLSS, Frame Generation, Reflex, CUDA, G-Sync, etc.
- The ability to collaborate with multiple development teams to gain knowledge and improve test code coverage.
Ways To Stand Out From The Crowd
- Prior project experience with building ML and DL based applications would be a plus.
- Good understanding of testing fundamentals.
- Good problem solving skills (solid logic to apply in isolation and regression of issues found).
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until May 26, 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.
JR2011328
QA Test Engineer Job Roles in California
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Search QA Test Engineer Jobs in CaliforniaQA Test Engineer Jobs in California: Frequently Asked Questions
Which companies sponsor visas for QA test engineers in California?
California's largest tech employers are among the most active H-1B sponsors for QA test engineers. Apple, Google, Meta, Salesforce, and Qualcomm regularly file LCA disclosures showing sponsored QA and software testing roles. Mid-size software companies and semiconductor firms in the Bay Area and San Diego also sponsor, particularly for roles requiring specialized testing frameworks or hardware validation experience.
Which visa types are most common for QA test engineer roles in California?
The H-1B is the most common visa for QA test engineers in California, as the role typically qualifies as a specialty occupation requiring a bachelor's degree in computer science, engineering, or a related field. L-1B visas apply when a candidate transfers from a foreign office of the same employer. Candidates from Australia may consider the E-3 visa, and Canadian or Mexican nationals may qualify under TN visa status in the engineering category.
Which cities in California have the most QA test engineer sponsorship jobs?
The San Francisco Bay Area, including San Jose, Sunnyvale, and Mountain View, concentrates the highest volume of sponsored QA test engineer roles due to the density of enterprise software and hardware companies there. Los Angeles has growing demand, particularly in entertainment technology and aerospace. San Diego is a strong market for hardware and embedded systems QA, driven by Qualcomm and its supplier ecosystem.
How to find qa test engineer visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search QA test engineer roles in California without sorting through positions that don't offer sponsorship. The platform covers openings across the Bay Area, Los Angeles, and San Diego. Filtering by state and role on Migrate Mate is the most direct way to identify California employers actively hiring sponsored QA candidates.
Are there state-specific considerations for QA test engineers seeking sponsorship in California?
California employers filing H-1B LCAs must meet Department of Labor prevailing wage requirements, which tend to be higher in metro areas like San Francisco and San Jose than national averages for QA roles. California's large university pipeline from UC Berkeley, UCLA, and UCSD produces strong local competition, meaning sponsored candidates benefit from demonstrating specialized skills in test automation, CI/CD integration, or domain-specific quality assurance such as fintech or medical devices.
What is the prevailing wage for sponsored qa test engineer jobs in California?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.