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What you’ll be doing:
Build a team in Vietnam from the ground up, including recruiting, hiring, and onboarding top software quality talent to expand NVIDIA's global footprint
Define and drive software quality assurance strategies, with a focus on automation, reliability, and performance testing for AI, Health and data center solutions.
Develop and enhance test automation frameworks to increase efficiency, test coverage, and continuous integration.
Collaborate with engineering, product, and customer teams to define quality goals, requirements, and real-world validation use cases.
Establish and monitor key quality metrics, leveraging data analytics to drive improvements.
Mentor and develop talent within the organization, fostering a culture of quality and continuous improvement.
Drive early engagement in the product development cycle, ensuring quality is embedded in design, architecture, and implementation phases
Develop and deploy standard processes for large-scale, distributed system testing, encompassing stress, scale, failover, and resiliency testing.
Ensure security and compliance testing aligns with industry standards for cloud and data center products.
Champion continuous integration (CI) and continuous deployment (CD) practices, integrating testing into the development pipeline
What we need to see:
PHD or Master's degree in Electrical Engineering, Computer Science, or a related field, or equivalent experience and 12+ overall years of experience
6+ years of leadership experience in driving strategic initiatives and fostering high-performing software quality assurance teams
Proven track record in building and scaling global teams, including setting up new locations and hiring top talent
Expertise in test automation, code coverage, and performance testing for large-scale, distributed systems
Deep knowledge of AI, Healthcare, cloud platforms, and data center technologies.
Strong programming and scripting skills for automation (Python, C++, etc.).
Ways to stand out from the crowd:
Stay ahead of industry trends and advancements in AI-driven testing, automation, and cloud-based validation strategies
Experience in optimizing testing infrastructure, ensuring scalability, efficiency, and reliability of automated test environments
Collaborate with customers and partners to understand real-world workloads and incorporate them into test scenarios for better product validation
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