As a QA Test Development Engineer at NVIDIA, you will have the opportunity to work with a team of dedicated professionals who are enthusiastic about advancing technology. You will play a crucial role in testing, test content development and validating our software releases, ensuring that our products meet exceptional quality standards. With our state-of-the-art infrastructure and advanced technologies, you will tackle stimulating and intricate challenges that directly impact the success of our products. Join us in revolutionizing the industry and shaping the future of computing.
What you'll be doing:
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As a software leader, you'll need to lead QA teams, engage technically, create vision and strategy, build roadmaps, and collaborate on products.
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Collaborate across the company to guide the direction of validating Confidential Computing within Nvidia products, working with hardware, software, customers and product teams.
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Lead CUDA release efforts, gather automation requirements, and drive the development of automation tools and infrastructure.
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Work closely with engineering teams develop and implement a cohesive solution for attestation services organization-wide.
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Ensure the delivery of high-quality software by focusing on code coverage and maintaining automation tools and infrastructure.
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Be responsible for testing cloud services, new GPU/system bring-up, Security Products and CUDA releases.
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Enhance system performance and predictability through data analysis, while conducting release and regression tests for existing CUDA features.
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Focus on enhancing the customer experience by improving the ease of use and optimizing performance.
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Driving the success of our products through meticulous testing and validation to meet high-quality standards.
What we need to see:
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A Bachelor's degree in a Computer Science, cloud computing technology, Information Security, SecDevOps or equivalent experience, with a preference for candidates holding a Master's degree.
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8+ years of experience in software QA and automation development. 2+ years in lead/manage software engineering team.
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Familiarity with Trusted Computing attestation methods and its application in overlay mesh network.
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Hand on experience with Trusted Execution Technologies (e.g. AMD SEV, Intel TDX, Intel SGX) on the hardware and software level
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Strong experience writing UI/API smoke, regression, and end-to-end tests to ensure integration points are thoroughly tested
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Strong knowledge of Python, C/C++, Java and experience with scripting languages.
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Proficiency in devising test strategies, crafting comprehensive test plans, and proficiently conducting tests.
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Familiarity with embedded systems, Linux, and bug logging.
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Proficiency in building test setups and strong hardware and software triage skills.
Ways to stand out from the crowd:
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Knowledge of testing and validating large-scale cloud infrastructure and/or distributed systems.
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Familiarity with various cloud technologies such as Cloud Stack, Open Stack, Mesos, and Kafka, as well as containers like Docker.
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Understanding of virtualization infrastructure software like HyperV and KVM.
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Experience in machine learning, artificial intelligence, and computer vision would be a plus.
NVIDIA is a well-known and esteemed company in the technology industry. We are recognized for our innovative solutions and are home to individuals who are both forward-thinking and dedicated. We strive to create a work environment that encourages collaboration and inclusivity, where all ideas are valued and respected. If you are a self-motivated and imaginative individual seeking to make a significant difference, we look forward to hearing from you!
The base salary range is 164,000 USD - 310,500 USD. 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. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
