Senior Software Quality Assurance Engineer
AI summary of the role
NVIDIA seeks a Senior QA Engineer for its Workstation and Virtualization team to ensure product quality through issue reproduction, root cause analysis, and validation.
What you’ll do
- Reproduce issues reported by OEMs, enterprise customers, and partners.
- Collaborate with software developers, program managers, and customers to determine root causes and verify defect fixes.
- Validate NVIDIA products on customer-specific platforms and configurations to ensure compatibility and reliability.
- Build Python, C#, and C++-based scripts and diagnostic tools aimed at increasing bug reproduction and troubleshooting efficiency.
What you’ll bring
- Bachelor’s or Master’s degree or equivalent in Computer Science, Electronics, Software Engineering, or related fields.
- 5+ years of industry experience, including at least 2 years in customer support or software/hardware testing.
- Proficient in Windows, virtualization technologies (VMware ESXi, Citrix Hypervisor, Microsoft Hyper-V, KVM) and scripting/automation (Python, PowerShell, Bash).
- Solid knowledge of PC architecture, supercomputers, and computer clusters.
Technologies
Windows · Linux · VMware ESXi · Citrix Hypervisor · Microsoft Hyper-V · KVM · Python · C# · C++ · PowerShell · Bash · DirectX
About NVIDIA
Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.
Public
Source and classification
Implementation & delivery · Evidence for this classification:
Doing: Reproduce issues reported by OEMs, enterprise customers, and partners. Collaborate with software developers, program managers, and customers to determine root causes, and verify defect fixes. Validate NVIDIA products on customer-specific platforms and configurations to ensure compatibility and reliability. Build Python, C#, and C++-based scripts and diagnostic tools aimed at increasing bug reproduction and troubleshooting efficiency. Build AI-driven tools and technologies that improve workflow efficiency. What We Need to See: Bachelor’s degree or Master’s degree or equivalent experience in Computer Science, Electronics, Software Engineering, or related fields. 5+ years of industry experience, including at least 2 years in customer support or software/hardware testing. Proficient in Windows, virtualization technologies (VMware ESXi, Citrix Hypervisor, Microsoft Hyper-V,
More from the job description
NVIDIA is seeking a highly skilled QA Engineer to join our Workstation and Virtualization team. This is an outstanding opportunity to work with innovative technology and contribute to advancements in computer graphics, PC gaming, and accelerated computing. You will collaborate closely with customers, software engineers, and program managers to reproduce issues, perform root cause analyses, and validate defect resolutions, ensuring flawless product quality. Our ideal candidate will possess deep expertise in both Windows and Linux environments, extensive experience in optimizing virtualization platforms (VMware ESXi, Citrix Hypervisor, Microsoft Hyper-V, and KVM), and strong proficiency in Python, C#, and C++. If you're passionate about solving challenging technical problems and developing powerful AI tools that enhance workflow efficiency, this role is perfect for you! What You’ll Be Doing: Reproduce issues reported by OEMs, enterprise customers, and partners. Collaborate with software developers, program managers, and customers to determine root causes, and verify defect fixes. Validate NVIDIA products on customer-specific platforms and configurations to ensure compatibility and reliability. Build Python, C#, and C++-based scripts and diagnostic tools aimed at increasing bug reproduction and troubleshooting efficiency. Build AI-driven tools and technologies that improve w [... source excerpt omitted ...] Master’s degree or equivalent experience in Computer Science, Electronics, Software Engineering, or related fields. 5+ years of industry experience, including at least 2 years in customer support or software/hardware testing. Proficient in Windows, virtualization technologies (VMware ESXi, Citrix Hypervisor, Microsoft Hyper-V, KVM) and scripting/automation (Python, PowerShell, Bash). Proven ability to troubleshoot and resolve complex hardware and software issues. Solid knowledge of PC architecture, supercomputers, and computer clusters, including caches, buses, memory controllers, DMA, and related components. Extensive experience building, configuring, and troubleshooting PC [... source excerpt omitted ...] s.com/ 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 April 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse 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, nati
Employer postings · Data from · Sources