NVIDIA is seeking a Senior Infrastructure Software Engineer for its Deep Learning Libraries Group to design and develop scalable infrastructure for high-performing deep learning libraries. The role involves working on products like cuDNN, TensorRT, and CUDA kernel libraries, focusing on streamlining development and testing across various platforms. The team comprises software engineers and infrastructure experts dedicated to maintaining NVIDIA's competitive edge in deep learning technology. This position offers the chance to significantly impact NVIDIA's AI and deep learning software projects.

• A Masters Degree in Computer Science or Computer Engineering or equivalent experience.
• 3+ years of relevant experience.
• Strong programming skills in Python (or similar) and familiarity with C/C++ development.
• Experience setting up, maintaining, and automating continuous integration systems.
• Experience in HTML5, CSS, NodeJS, or React.
• Fluency in SCM and build systems.
• Background with distributed systems and cluster/cloud computing, especially with Kubernetes.

• Design and develop software for testing and analysis of codebases.
• Build scalable automation for build, test, integration, and release processes.
• Develop throughout the software stack, from user experience to database layers.
• Configure, maintain, and build upon deployments of industry-standard tools.
• Advance the state of the art in industry-standard tools.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.