Nvidia is hiring a
Director of Enterprise Software Quality Assurance, Deep Learning
Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. NVIDIA’s GPUs runs AI algorithms, simulating human intelligence, and act as the brains of computers, robots and self-driving cars that can perceive and understand the world. Increasingly known as “the AI computing company”, NVIDIA wants you. Come, join our Enterprise Software QA team in the AI Computing/Cloud Business Unit, where you can help build real-time, cost-effective computing platforms driving our success in this exciting and rapidly growing field.
We are seeking an outstanding Director of Enterprise Software Quality Assurance, Deep Learning with a background in the following to lead and grow high caliber QA teams who are dedicated on testing accelerating AI and high-performance computing applications.
What you'll be doing:
Provide strategic guidance for all aspects of enterprise software testing. This is a hands-on senior QA management responsibilities spanning across Deep Learning Training and Professional Visualization for drivers, CUDA, Containers, Deep Learning frameworks (Caffe, Torch, Theano…), OpenGL applications and enterprise products.
Build and lead the world class Enterprise SWQA team to develop enterprise test plan that cover unit, component, functionality, performance, stress and stability, security, scalability, systems, and usability testing
Architect the Test Methodology, create the Quality KPI and take actions to drive the teams to deliver perfect quality enterprise product
Architect and maintain an automated testing framework that enables high quality work
Build a high performing enterprise SWQA organization by driving and implementing changes for continuous improvement
Develop shared vision and technology roadmap with partner teams. Build consensus, communicate and collaborate with partner teams on team scope and technology directions.
Work closely with product management, engineering stakeholders and empower tech teams to deliver outstanding and impactful results. Proactively address and solve cross-team issues, foster teamwork and collaborations.
What we need to see:
BS or MS in CS/EE/CE or equivalent experience
Over 10 years of enterprise SWQA experience and test infrastructure with at least 5 years of consistent track record as SWQA Director of enterprise
Background with UNIX/Linux based appliances, web servers and services
Experience and expertise in machine learning, and other AI technologies
Experience working in agile development environments
A track record of talent leading and development for an organization of significant size
Influencing skills including indirect influence, leading with vision and value
Good analytical skills, ability to solve complex problems through analytics and data-driven approach to decision making
Excel at working with different time zones
Ways to stand out from the crowd:
Familiarity with NVIDIA GPU hardware and CUDA is a strong plus
Comfortable in at least one programming language (C, C++) and scripting (Python/Bash/Perl)
Be an instrument of change
Passionate about quality, demonstrate high standards, and continue to drive quality improvements till perfection
You should have with strong analytical, trouble shooting skills , and should have high capability in driving issues to close
Mandarin speaking highly preferred but not required
We are widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and hard-working people in the world working for us. If you're creative, autonomous and enjoy having fun, then what are you waiting for apply today!The base salary range is $264,000 - $402,500. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits.
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