QA Jobs in Santa Clara, CA

Design, develop, and execute functional and performance test plans and cases for VoIP, networking, mobile and application-based solutions. Build and maintain test labs, use automation and AI-assisted testing tools, track and drive defect resolution, report quality metrics, and collaborate with cross-functional teams to improve coverage and efficiency.

Technical QA engineer to develop and execute test plans for scalable, distributed systems. Must script in Python/Ruby/Groovy, write complex SQL, work in Unix, use source control, and perform white-box testing and unit-test integration for C++/Java components.

Develop testing strategy and tests for wearable SDKs, public APIs and reference apps. Design and automate tests for Android and iOS, validate performance and scalability, triage multi-tier issues, perform stress and vulnerability testing, and collaborate with global product and development teams.

Set up and validate virtualization environments (VMware, OpenStack). Test and evaluate Intel Security Controller (ISC) with security virtual appliances and management consoles. Develop Python automation scripts and design/execute manual or automated test cases to verify functionality and performance.

Lead QA engineer responsible for designing and executing test strategies, building and maintaining automated test frameworks, validating hardware-software integrations, driving CI/CD testing, performing root-cause analysis, mentoring engineers, and ensuring system reliability, performance, and scalability across desktop, web, firmware, and distributed systems.

QA Engineer responsible for implementing QA processes, validating Retail POS and mobile applications, coordinating end-to-end testing with backend systems and vendors, troubleshooting test lab setups, and collaborating with cross-functional teams to find and resolve defects.

Design, develop and execute automated and manual tests to ensure software quality. Build automation using Robot Framework/Python, Selenium, TestNG and XPath. Collaborate with cross-functional teams, analyze results, and communicate quality architectures, test plans and findings. Work on Windows and Linux environments.

Designs and executes automated functional and integration tests across Web, iOS, OS X, and backend services. Works with Java, SQL, Unix, Scala, NoSQL, and REST/SOAP Web Services. Tests highly scalable, distributed, high-performance platforms, and Apple hardware/software. Delivers high-quality results on tight schedules, collaborates closely, and adapts to a fast-paced environment.

Design and execute test plans across the SDLC, build automated test frameworks (API/UI) using Java and automation tools, validate web services, improve CI/CD, perform root-cause analysis and ensure QA processes and standards are met.

Lead mobile QA automation efforts: design test strategy, estimate test effort, build/execute automation (Selenium/WebDriver and listed tools), analyze and report test results, collaborate cross-functionally in a global delivery environment.

Design and execute mobile app test strategies, develop and run automation using Selenium/WebDriver and scripting/automation tools, estimate test effort, analyze and report results, collaborate cross-functionally in a global delivery environment.

Lead mobile QA automation efforts: design test strategy, estimate test effort, build and run automation (Selenium/WebDriver, App Perfect, JUnit), analyze and report test execution, collaborate cross-functionally in a global delivery environment.

Lead QA automation efforts: design test plans and cases, build automated and performance tests (Java/JS/Groovy), perform API testing, analyze/report defects, present results, and coordinate with teams. Requires hands-on use of Selenium, JMeter, SoapUI, CI/CD and collaboration tools.

The Senior Manager, Robotics Quality Assurance will lead test engineering strategy, automation development, and validate models for robotics products, ensuring quality across hardware and software.

The Mobile QA Engineer will create and execute test plans for mobile apps, collaborate with engineering teams, and ensure quality through various testing methodologies.

The Software Quality Assurance Engineer will develop and implement QA processes for the Self-Driving System, ensuring compliance with ASPICE and ISO standards, conducting audits, and driving continuous improvement in quality assurance practices.

Lead QA strategy and engineering excellence for mainframe and open systems. Improve code coverage, build/optimize CI/CD pipelines, automate testing, mentor QA engineers, collaborate across product and engineering teams, and work with mainframe storage (DFSMS, DASD, CA1) and virtualization platforms (z/OS, Linux, VMware).

Set up and validate virtualization environments (VMware, OpenStack). Test ISC (Intel Security Controller) with security virtual appliances and management consoles. Write Python automation scripts, design and execute test cases manually and via automation. Work with Cisco networking equipment; knowledge of computer architecture required.

Design, develop and deploy software and hardware tests and tools for wearable products. Create manufacturing, validation and service test automation, control instrumentation, and collaborate with engineering, manufacturing, and service teams.

Develop and maintain automated test cases for mobile applications (iOS/Android). Collaborate with developers, troubleshoot defects, and ensure app quality. Communicate issues clearly and work as part of a testing/development team.

Plan, create, develop and deploy software and hardware tests/tools for wearable products. Build manufacturing, validation, production, and service test automation using TestStand, NI-DAQ and instrumentation; develop Linux/embedded and Windows test applications in C/C++ and scripting. Collaborate with engineering, manufacturing, partners, and vendors.

Audit and validate data labeling outputs, provide structured feedback and hands-on training to annotators, monitor workflows and escalate issues, help apply and improve guidelines, and identify patterns in human and model outputs to maintain high-quality AI training data.