Nvidia Senior Software Development Engineer Test 

United States, California 

612838208

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:

• Collaborate across the company to guide the direction of validating Confidential Computing within Nvidia products, working with hardware, software, customers and product teams.

• Lead CUDA release efforts, gather automation requirements, and drive the development of automation tools and infrastructure.

• Work closely with engineering teams develop and implement a cohesive solution for attestation services organization-wide.

• Ensure the delivery of high-quality software by focusing on code coverage and maintaining automation tools and infrastructure.

• Be responsible for testing cloud services, new GPU/system bring-up, Security Products and CUDA releases.

• Enhance system performance and predictability through data analysis, while conducting release and regression tests for existing CUDA features.

• Focus on enhancing the customer experience by improving the ease of use and optimizing performance.

• Driving the success of our products through meticulous testing and validation to meet high-quality standards.

What we need to see:

• 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.

• 8+ years of experience in software QA and automation development.

• Familiarity with Trusted Computing attestation methods and its application in overlay mesh network.

• Hand on experience with Trusted Execution Technologies (e.g. AMD SEV, Intel TDX, Intel SGX) on the hardware and software level

• Strong experience writing UI/API smoke, regression, and end-to-end tests to ensure integration points are thoroughly tested

• Strong knowledge of Python, C/C++, Java and experience with scripting languages.

• Proficiency in devising test strategies, crafting comprehensive test plans, and proficiently conducting tests.

• Familiarity with embedded systems, Linux, and bug logging.

• Proficiency in building test setups and strong hardware and software triage skills.

Ways to stand out from the crowd:

• Knowledge of testing and validating large-scale cloud infrastructure and/or distributed systems.

• Familiarity with various cloud technologies such as Cloud Stack, Open Stack, Mesos, and Kafka, as well as containers like Docker.

• Understanding of virtualization infrastructure software like HyperV and KVM.

• Experience in machine learning, artificial intelligence, and computer vision would be a plus.