QA Jobs in Santa Clara, CA

Design, build, and run automated test frameworks and validation for cloud-based AI/ML inference services. Execute functional, integration, regression, performance, API, and data validation tests using Python/Java, Selenium, SQL, JMeter, and CI/CD tools. Triage defects, perform root-cause analysis, monitor system performance, and document results while collaborating with cross-functional teams to ensure reliable, scalable SaaS deployments.

Design, build and execute manual and automated tests for complex concurrent software in lithography platforms. Create test plans, automation scripts, tools and frameworks; review requirements; identify, document and track defects; perform regression and modular testing; collaborate with developers, hardware engineers and product teams to ensure product quality.

Reproduce and debug customer-reported issues, perform root-cause analysis, and validate fixes across customer platforms. Build diagnostic scripts and tools (Python, C#, C++) and AI-driven utilities. Validate NVIDIA products on diverse virtualization and hardware configurations, collaborating with engineers, program managers, and customers to ensure compatibility and reliability.

Lead the quality assurance function for robotics medical devices: build and maintain the QMS, ensure compliance with FDA and international standards, define regulatory strategy, oversee verification/validation and supplier quality, and grow/manage the QA team to support product transfer to manufacturing and commercial launch.

Lead quality engineering for medical device manufacturing: support NPI and sustainment, implement risk-based quality systems, perform FMEAs, develop/execute verification/validation and IQ/OQ/PQ/PV, address deviations and drive CAPAs to ensure compliance with ISO 13485 and 21 CFR 820.

Lead development, implementation, and maintenance of the Quality Management System (QMS) to ensure ISO and FDA compliance. Oversee documentation control, inspections, product release, audits, corrective actions, calibration, training, and QA staff. Serve as audit liaison and collaborate with Manufacturing and Product Development to support production and new product introductions.

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 Software Development Engineer in Test will design automated tests using AI technologies for NVIDIA products, develop testing tools, and collaborate across teams to improve software quality.

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).

The Robotics Software QA/Test Engineer will ensure software quality through testing practices, monitor test robots, triage issues, and improve testing tools.

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.

Lead functional and automated testing of NVIDIA-Cumulus Linux on Mellanox Spectrum switches. Create test plans and topologies, execute tests, develop automation, report and validate defects, and collaborate with design and engineering teams to ensure continuous functional regression coverage.

The Senior QA Engineer will develop solutions to complex problems, lead projects, foster collaboration, and mentor junior engineers with a focus on quality assurance methodologies and technical guidance.

The Sr. QA Engineer will develop a QA strategy for EMC's Data Computing Appliance, create testing solutions, conduct root cause analysis, and perform system level testing.

Seeking a QA Manager with strong project management experience and a solid background in automation and quality assurance, especially in STB and IPTV technologies.

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.

Evaluate Spanish (Spain) localized content across web, mobile, and software. Execute test cases, identify and document localization issues, verify bug fixes, and collaborate with cross-functional teams to ensure translations are accurate, culturally appropriate, and meet quality standards. Hybrid role with occasional Cupertino office attendance.