Validation Engineer Visa Sponsorship Jobs in California
Validation engineer visa sponsorship jobs in California are concentrated in the Bay Area, San Diego, and Los Angeles, driven by the state's dense semiconductor, medical device, and biopharmaceutical sectors. Companies like Intuitive Surgical, Boston Scientific, and Applied Materials have active validation engineering teams and documented H-1B visa sponsorship histories across these regions.
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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 October 30, 2026. 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.
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 October 30, 2026. 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.
Validation Engineer Job Roles in California
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Search Validation Engineer Jobs in CaliforniaValidation Engineer Jobs in California: Frequently Asked Questions
Which companies sponsor visas for validation engineers in California?
California's medical device and semiconductor industries are the primary sources of validation engineer sponsorship. Companies with documented H-1B filing histories for validation engineering roles include Intuitive Surgical in Sunnyvale, Edwards Lifesciences in Irvine, Boston Scientific in Santa Clara, Lam Research in Fremont, and Abbott Laboratories across multiple California sites. Large pharmaceutical manufacturers in the San Diego corridor, including Thermo Fisher Scientific and Illumina, also sponsor regularly for validation roles in regulated environments.
Which visa types are most common for validation engineer roles in California?
The H-1B is the most common visa category for validation engineers in California, as the role typically requires a bachelor's degree or higher in engineering, computer science, or a related technical field, satisfying the specialty occupation standard. Candidates with Canadian or Mexican citizenship may qualify for TN visa status under the engineer category. Those with extraordinary ability or exceptional research profiles in validation-heavy fields like biomedical engineering may explore O-1 visa classification, though that pathway is significantly less common.
Which cities in California have the most validation engineer sponsorship jobs?
The San Francisco Bay Area, particularly Sunnyvale, Santa Clara, San Jose, and Fremont, has the highest concentration of validation engineer sponsorship jobs, driven by semiconductor and medical device manufacturers. San Diego is a strong secondary market with a dense cluster of biotech and life sciences companies requiring process and equipment validation. Los Angeles has a smaller but active presence, primarily tied to aerospace, defense, and pharmaceutical contract manufacturing organizations.
How to find validation engineer visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify California-based validation engineer roles where employers are actively open to sponsoring international candidates. Because validation engineering spans multiple industries in California, including medical devices, semiconductors, and biopharma, using Migrate Mate's role and location filters helps narrow results to relevant openings rather than sorting through general engineering postings that may not include sponsorship.
Are there any state-specific considerations for validation engineers seeking sponsorship in California?
California's strong presence of FDA-regulated industries means many validation engineer roles are tied to industries with strict hiring timelines and compliance requirements, which can influence how quickly employers initiate sponsorship paperwork. The state also has a large network of UC and CSU engineering programs that supply international graduates on OPT, meaning employers in California are generally familiar with sponsorship processes. Prevailing wage determinations for validation engineers in the Bay Area and San Diego are calculated at regional levels, reflecting the higher cost of living in those metro areas.
What is the prevailing wage for sponsored validation 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.