Software Quality Assurance Jobs in Santa Clara, CA
Software Quality Assurance jobs in Santa Clara are in strong demand, concentrated in the central business core near Great America Parkway, the semiconductor corridor along Tasman Drive, and the mixed-use tech campuses clustered around the Intel and Nvidia headquarters zones, across chip design, enterprise software, and networking hardware. Employers actively hiring include NVIDIA, Gigamon, and Fortinet. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 42+ Software Quality Assurance jobs
INTRODUCTION
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
ROLE AND RESPONSIBILITIES
NVIDIA is looking for an outstanding Quality Assurance Engineer to join our Digital Marketing Operations Team to help drive the delivery of global web initiatives and operations. This role entails being responsible for the project management and coordination of software testing for all web and mobile releases. The ideal candidate is someone who thrives on solving complex problems and has hands-on experience in quality assurance and automation.
What you'll be doing:
- Work together with development teams to triage issues, conduct root cause analysis, and confirm fixes.
- Define new tests and improve existing test plans to ensure the highest quality standards.
- Develop and update automation testing scripts using Java, TestNG, Selenium for Frontend, REST/Services, Database, and AEM components.
- Collaborate with teams located in different regions, joining reviews and meetings to keep alignment and cohesion.
- Contribute to the creation and improvement of sophisticated, stable automation frameworks that boost efficiency, re-usability, and flexibility.
- Improve NVIDIA's continuous integration framework by merging build, compiling, test, and validating processes with scheduling, automated notifications, and build deployments.
BASIC QUALIFICATIONS
What we need to see:
- Bachelor's degree in Computer Science or equivalent experience in related fields.
- At least 4+ years’ hands on testing experience in embedded software stack.
- Hands-on experience with AEM Components, authoring and publishing testing.
- Knowledge of HTML5, CSS3, Javascript and ReactJS UI technologies and debugging methodologies.
- Experience using Configuration Management tools (Git, Perforce) and Agile scrum tools.
- Able to balance conflicting/changing priorities and maintain a positive demeanor while experiencing ambitious and dynamic schedules.
- Ability to manage, show leadership, good analytical skills and communicate well.
- Strong technical skills, a deep understanding of embedded systems, orchestration & automation systems, data centers and cloud architecture.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Advanced degrees or equivalent experience in Computer Science or related fields.
- Experienced knowledge of Selenium, TestNG, Maven, Jenkins, Databases, Web services, JMeter and Java.
- Knowledge of AI and deep learning frameworks.
- Build QA automation AI workflows which can be coordinated with multiple platforms like ChatGPT, Claude and Cursor.
- Excellent interpersonal skills with both technical and non-technical audiences.
LOCATION
Join us in Santa Clara, CA, and contribute within a group that is advancing the frontiers of technology and innovation. Your efforts will help shape the future of computing!
COMPENSATION
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 132,000 USD - 207,000 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 27, 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.
INTRODUCTION
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
ROLE AND RESPONSIBILITIES
NVIDIA is looking for an outstanding Quality Assurance Engineer to join our Digital Marketing Operations Team to help drive the delivery of global web initiatives and operations. This role entails being responsible for the project management and coordination of software testing for all web and mobile releases. The ideal candidate is someone who thrives on solving complex problems and has hands-on experience in quality assurance and automation.
What you'll be doing:
- Work together with development teams to triage issues, conduct root cause analysis, and confirm fixes.
- Define new tests and improve existing test plans to ensure the highest quality standards.
- Develop and update automation testing scripts using Java, TestNG, Selenium for Frontend, REST/Services, Database, and AEM components.
- Collaborate with teams located in different regions, joining reviews and meetings to keep alignment and cohesion.
- Contribute to the creation and improvement of sophisticated, stable automation frameworks that boost efficiency, re-usability, and flexibility.
- Improve NVIDIA's continuous integration framework by merging build, compiling, test, and validating processes with scheduling, automated notifications, and build deployments.
BASIC QUALIFICATIONS
What we need to see:
- Bachelor's degree in Computer Science or equivalent experience in related fields.
- At least 4+ years’ hands on testing experience in embedded software stack.
- Hands-on experience with AEM Components, authoring and publishing testing.
- Knowledge of HTML5, CSS3, Javascript and ReactJS UI technologies and debugging methodologies.
- Experience using Configuration Management tools (Git, Perforce) and Agile scrum tools.
- Able to balance conflicting/changing priorities and maintain a positive demeanor while experiencing ambitious and dynamic schedules.
- Ability to manage, show leadership, good analytical skills and communicate well.
- Strong technical skills, a deep understanding of embedded systems, orchestration & automation systems, data centers and cloud architecture.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Advanced degrees or equivalent experience in Computer Science or related fields.
- Experienced knowledge of Selenium, TestNG, Maven, Jenkins, Databases, Web services, JMeter and Java.
- Knowledge of AI and deep learning frameworks.
- Build QA automation AI workflows which can be coordinated with multiple platforms like ChatGPT, Claude and Cursor.
- Excellent interpersonal skills with both technical and non-technical audiences.
LOCATION
Join us in Santa Clara, CA, and contribute within a group that is advancing the frontiers of technology and innovation. Your efforts will help shape the future of computing!
COMPENSATION
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 132,000 USD - 207,000 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 27, 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.
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Find JobsSoftware Quality Assurance Job Market in Santa Clara
Who's Hiring
- NVIDIA25
- Gigamon4
- Fortinet4
- Applied Materials4
- Intel Corporation4
Top Industries Hiring
- Technology & Software
- Electronics & Hardware
Software Quality Assurance Jobs in Santa Clara: Frequently Asked Questions
How do I get a software quality assurance job in Santa Clara?
Santa Clara's QA market is driven by semiconductor firms, networking hardware companies, and enterprise software vendors, so candidates who demonstrate experience testing embedded systems, firmware, or hardware-adjacent software stand out immediately. Familiarity with CI/CD pipelines and automation frameworks like Selenium or Pytest carries real weight with local hiring managers. Targeting mid-size chip and infrastructure companies near the Great America Parkway corridor gives you access to a steady volume of openings with less competition than the largest brand-name employers.
Which companies hire software quality assurances in Santa Clara?
Companies currently hiring software quality assurances in Santa Clara include NVIDIA, Gigamon, and Fortinet, per current listings on Migrate Mate as of September 2026. Santa Clara's employer mix skews heavily toward semiconductor manufacturers, networking equipment makers, and cloud infrastructure companies, so QA roles here frequently involve hardware validation, platform testing, and low-level software verification alongside traditional application QA.
Are there remote software quality assurance jobs in Santa Clara?
Yes, though availability depends on the role type. Positions focused on manual testing, test strategy, and automation scripting are more remote-friendly, while hardware-in-the-loop and on-device validation roles almost always require on-site presence in Santa Clara. About 28% of software quality assurance openings tied to Santa Clara are remote or hybrid as of September 2026. Automation QA and test engineering roles at software-only or cloud-focused Santa Clara employers offer the strongest remote options locally.
How can I get a software quality assurance job in Santa Clara with little or no experience?
The most realistic entry path in Santa Clara is landing a junior QA analyst or QA engineer in test role at one of the many mid-size SaaS or infrastructure startups clustered around the city's tech corridors, which tend to hire entry-level candidates more readily than large semiconductor firms. Building hands-on skills in test automation using open-source tools and contributing to open-source QA projects strengthens your profile meaningfully. Contract and temp-to-hire QA positions at staffing agencies serving Santa Clara's tech sector are another reliable foot in the door.
Which industries hire the most software quality assurances in Santa Clara?
Santa Clara software quality assurance roles concentrate in Technology & Software and Electronics & Hardware, based on current listings on Migrate Mate as of September 2026. Santa Clara's identity as a global hub for chip design, networking hardware, and enterprise cloud infrastructure means QA demand is consistently driven by product release cycles in those capital-intensive sectors, where defect costs are high and testing rigor is built into the development culture.
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