Senior System Test Architect
NVIDIA
Senior System Test Architect
NVIDIA
Designs the chips and software that power AI
NVIDIA's Networking OS Software Group is looking for an experienced Senior System Test Architect. As a member of our team, you will play a pivotal role in NVIDIA’s core projects, driving both technological and business growth. Your primary goal will be to elevate the quality of our software and products for our key customers.
What you will be doing:
Define and develop core capabilities for testing.
Validate that high-level compositions (HLD) and test plans meet the quality bar in all aspects, including performance and resiliency.
Ensure maximum test coverage, develop testing specification documents, and lead all aspects of the production test flow process for each system.
Define, analyze, and monitor quality critical metrics throughout the software development lifecycle.
Conduct root cause analysis of key issues and define mitigation and correction actions.
What we need to see:
BSc in Computer Science, Electrical Engineering, or a similar degree, or equivalent experience.
Minimum of 10 years of hands-on engineering experience, including at least 5 years in a senior or lead position.
Proven experience in the testing domain, including strategy, tooling, processes, reporting, and monitoring.
Strong self-task management, extensive electronic knowledge, and familiarity with production and testing processes.
Demonstrated ability to manage and follow up on multi-functional and personal tasks to completion.
Ways to stand out from the crowd:
Good understanding of hardware and HW-SW interfaces
Experience in Python programming.
Knowledge in Networking protocols.
Join our ambitious team and contribute to projects that are defining the future of computing. Your expertise will help us deliver flawless products and set new standards in the industry. Be part of something outstanding at NVIDIA!
NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.
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