NVIDIA is the world leader in GPU Computing. We are passionate about four markets: Gaming, Automotive, Enterprise Graphics and HPC/Cloud Datacenters; in addition to our traditional OEM business. We are well positioned as the ‘AI Computing Company’, and our GPUs are the brains powering world-class Deep Learning software frameworks, accelerated analytics, big data, supercomputing data centers, smart cities, and driving autonomous vehicles. This job involves collaborating with brilliant and talented people across the globe to translate objectives into action plans, to identify and overcome technical and schedule challenges, and to innovate to improve or create test and development processes.
What You’ll Be Doing
* Be responsible for driving quality assurance and test development on GPU cloud computing products
* Identify strategies and metrics for leading initiatives to continuously improve product quality and your team’s capabilities
* Guide your team to acquire AI skills, train on new technologies for quality assurance, drive adoption and innovation of using AI to make the work perfect
* Collaborate with development, program management, marketing, and engineering teams, negotiate requirements and deriving test solutions and proposals
* Drive a “Zero Defect” culture by constantly striving for test plan improvement and perfection
* Innovate to create new tools and processes to accelerate development and improve quality.
* Cultivate leadership in others
What We Need To See
* BS or higher degree in CS/EE/CE or equivalent practical experience
* 8+ years in SW development, SW QA or testing background, and at least 6 years’ experience in managerial role with good track record
* Use AI to develop test cases, automation, improve efficiency and performance
* Proficiency in software and/or operating systems environments
* Strong software development and verification process fundamentals
* Experienced in using quality mindset to drive improvements, passionate about quality, demonstrate high standards
* Organizational and interpersonal skills for driving complex issues to closure
* Expert in mentoring and coaching skills
Ways To Stand Out From The Crowd
* Familiarity with NVIDIA GPU hardware, CUDA, and DGX Cloud is a strong plus
* Experience with Linux on compute clusters
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