NVIDIA
Technology
SeniorSystemSoftwareEngineer-WindowsDevOpsandTestLabs
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior System Software Engineer - Windows DevOps and Test Labs at NVIDIA. Skills: Windows AI automation, DevOps, Infrastructure development, AI workloads. Develop reliable infrastructure. Deploy reliable infrastructure”
Industry & Context.
Problem-solving; Troubleshooting
What They're Looking For.
Must Have
B. Tech or higher degree, 5+ years of experience, 4+ years C# or Java, Exposure to Python, Perl, or PHP, Familiarity with databases and SQL, Experience with source control systems, Experience with CI/CD pipelines
Nice to Have
Backend automation systems experience, Working with databases experience, Grafana or Kibana setup experience, Git, Jenkins CI/CD pipelines background, Llama.cpp, Ollama, Pyotrch experience
What You'll Do.
Develop reliable infrastructure
Deploy reliable infrastructure
Sustain reliable infrastructure
Scope deployment requirements
Develop solutions to measure accuracy
Develop solutions to measure functionality
Develop solutions to measure performance
Develop infrastructure to download AI models
Handle local repository
Create automated synchronization mechanism
Analyze large datasets
Design visualizations
Implement data processing engines
Collaborate with WinAI developers
Implement features in automation
Debug issues in current frameworks
Devise solutions to enhance efficiency
Build CI/CD workflows
Implement CI/CD workflows
Maintain CI/CD workflows
How You'll Work.
Team & Collaboration
Engineering teams
Communication Scope
Written communication; Oral communication
Process & Methodology
CI/CD pipelines
Full Job Description
NVIDIA is a pioneering company that revolutionized the computing world with its GPU technology, driving the growth of the PC gaming market and redefining modern computer graphics. With the recent advancement of GPU deep learning has ushered AI into a new era of computing, positioning GPUs as the driving force behind intelligent applications in productivity, gaming, and creative fields, solidifying NVIDIA's position as the leading "AI computing company." There is a growing emphasis on processing AI computations at the edge, closer to the source of data. This approach reduces latency, enhances real-time processing, and addresses privacy concerns by minimizing the need for sending data to centralized servers. As technology continues to advance, we can expect client-side AI (local execution) to play a pivotal role in shaping the digital landscape. The Windows AI Automation team is seeking a senior software engineer passionate about building and maintaining robust infrastructure for deploying high-quality AI applications and models. You will collaborate with a team of highly qualified engineers dedicated to creating top-tier infrastructure for Windows AI automation. If you have a real passion for setting up automation systems in the Windows AI ecosystem to achieve excellence, this could be an excellent opportunity for us to work together! **What you 'll be doing:** * Develop, deploy, and sustain reliable infrastructure to efficiently run various AI workloads through different inference backends like WinML, Direct ML, TRT-RTX, and others. * Scope out the requirements for deploying various AI applications, benchmarks and models in automation, and develop solutions to measure accuracy, functionality and performance. * Develop Infrastructure to download AI models from various sources and efficiently handle a local repository, create an automated synchronization mechanism to keep repository up to date. * Analyze large datasets to derive insights and design visualizations, imp
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