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10 Days Ago
Īnd, Chamba, Himāchal Pradesh, IND
21,960 Employees
Mid level
21,960 Employees
Mid level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Tools and Automation Engineer will develop automated tests and tools for NVIDIA software products, focusing on early defect identification. Responsibilities include executing tests, analyzing results, driving automation initiatives, debugging issues, improving code coverage, and collaborating with development teams.
12 Days Ago
CA, USA
Remote
21,960 Employees
Senior level
21,960 Employees
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
You will develop and enhance functionalities for Triton Inference Server tools, collaborating with researchers and engineers to analyze performance needs and automate testing processes. Your role includes setting up and analyzing performance for deep learning models, integrating tools, and contributing to technical documentation.
19 Days Ago
Īnd, Chamba, Himāchal Pradesh, IND
21,960 Employees
Senior level
21,960 Employees
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
As a Senior Responsible AI Engineer at NVIDIA, you will be evaluating, refining, developing, testing, and automating AI research, practices, and tools to ensure ethically responsible AI models, datasets, and software. You will contribute to shaping NVIDIA's role in ethical AI development by identifying, evaluating, and integrating software tools that promote responsible AI practices.
19 Days Ago
Īnd, Chamba, Himāchal Pradesh, IND
21,960 Employees
Senior level
21,960 Employees
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
Join NVIDIA's Software Infrastructure and Operations team as a Senior Engineer. Design and maintain Kubernetes based environments, develop automation tools, deploy new data center infrastructure, and work on cloud infrastructure. Strong background in Kubernetes, programming, databases, and infrastructure management is required. Bachelor's or Master's degree in CS or related field is preferred.
22 Days Ago
New York, NY, USA
Remote
21,960 Employees
Senior level
21,960 Employees
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The role involves developing optimized GPU algorithms for data analytics and ML, architecting distributed GPU algorithms for single and multi-node environments, benchmarking solutions, and collaborating with teams to improve integrations with RAPIDS and other high-level frameworks.
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