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June 24, 2026
QA Engineer – Windows Platform Validation supporting Nvidia
Senior • On-site
114,396 - 156,000 USD/hr
Redmond, WA
Engagement Overview
- Location: Redmond, WA (Onsite 5 days per week)
- Duration: 6-month W-2 contract
- Pay Rate: $55–$75/hour, depending on experience, education, skills, and location
- Benefits: Medical, dental, vision, PTO, and additional benefits available
- Start Date: Immediately
What You'll Be Doing
- Execute testing and validation activities across PC and cloud gaming platforms
- Perform system-level testing on Windows-based hardware and software environments
- Identify, reproduce, troubleshoot, and document defects with clear and detailed bug reports
- Analyze logs, system behavior, and test results to support root-cause investigations
- Validate software, drivers, firmware, and platform functionality
- Review test plans and contribute to test automation efforts where applicable
- Create and distribute test reports to stakeholders and cross-functional teams
- Collaborate with engineering teams to improve product quality and user experience
What We Need to See
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience
- 4+ years of experience in QA, validation, testing, or a related engineering role
- Strong experience working within Windows operating system environments
- Hands-on experience troubleshooting software and hardware issues at the system level
- Experience testing device drivers, firmware, or platform-level functionality
- Proficiency with scripting or automation using Python
- Strong analytical and problem-solving skills with the ability to independently investigate complex technical issues
- Experience with Windows debugging tools and log analysis (WinDbg)
Preferred Qualifications
- Familiarity with hardware validation, platform testing, or PC system integration
- Knowledge of GPU technologies, graphics systems, or gaming platforms
- Experience supporting automation frameworks and test infrastructure
- Exposure to AI-assisted development, debugging, or test workflows
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