Software QA Engineer

We are seeking an energetic, hardworking Software Quality Assurance Engineer to join our Customer Support Team and provide world-class support to Enterprise and OEM Customers. Strong Windows OS knowledge and in-depth experience with various PC hardware, debugging technologies. Selected person will work closely with our customers, PMs and end-users and internal teams on existing and upcoming NVIDIA products, new features, and technologies.

What you'll be doing:

• Work with software developers, program managers, OEMS and Enterprise customers to investigate customer reported issues, assist in root cause determination, and verify reported defects are fixed.

• Replicate Customer / End user reported issues.

• Candidate will be working on the latest NVIDIA products and technologies and provide software technical support to our Enterprise customers.

• Focus will be to analyze and reproduce issues reported by OEMs and Enterprise customers.

• Additional responsibilities include testing NVIDIA products on customer specific platforms to ensure compatibility and provide timely communication to cross-functional groups.

• You will help triage, isolate, and resolve reported problems.

• Develop and implement software tools that improves productivity.

What we need to see:

• Bachelors or master’s degree in computer science, Electronics, Software Engineering, or equivalent degree.

• 4+ years’ experience with 2+ years customer support or software -hardware testing experience required.

• Experience troubleshooting and resolving hardware or software issues a must.

• Deep understanding of the Windows OS.

• Extensive scripting using Python required.

• Deep knowledge of PC architecture, supercomputers, and computer clusters.

• Must have extensive experience building, configuring, and troubleshooting PCs, or laptop systems.

• Experience with debugging tools, memory dump analysis and remote debug.

• Strong analytical & problem-solving skills, excellent interpersonal skills and should be able to handle multiple projects independently.

• Strong interest in or knowledge of CUDA, OpenCL, and deep learning.

• Good written and verbal communication skills are essential.

• The Candidate should be willing to work in flexible hours.

Ways to stand out from the crowd:

• Strong interest and knowledge of Generative AI and various LLMs.

• Automation experience using C/C++, Ansible, Java, JavaScript.

• Familiarity working with NVIDIA GPU hardware a strong plus as well as prior experience in PC Game Testing will be an added advantage.