NVIDIA is seeking a Senior Software Engineer to enhance the Python experience for CUDA Core Libraries. This role involves building Pythonic APIs, language bindings, and runtime infrastructure on top of C/C++ foundations. The engineer will work on foundational libraries and algorithms that optimize CUDA for developers and AI applications. Collaboration with various engineering teams and direct user engagement will be key to improving usability and performance.

• BS, MS, or PhD in Computer Science, Computer Engineering, or a related field, or equivalent experience.
• 8+ years of relevant software-development experience.
• Strong production programming skills in both Python and C/C++.
• Experience building Python interfaces to native or systems-level software.
• Understanding of systems software concepts, performance, concurrency, and API design.
• Practical experience with parallel, heterogeneous, or GPU programming.
• Experience developing production software or widely used libraries, including testing, profiling, benchmarking, packaging, and code review.
• Ability to work independently, define project scope, and drive complex work to completion.
• Clear written communication skills for API specifications, technical designs, and user documentation.
• Comfort working in large codebases spanning Python, C/C++, build systems, packaging, and continuous-integration infrastructure.

• Design and implement idiomatic Python APIs and bindings for foundational CUDA capabilities and GPU algorithms.
• Develop and integrate the native C/C++ components that support Python-facing functionality.
• Define reliable and efficient interoperability boundaries between Python, C/C++, Rust, and other languages.
• Develop high-performance interfaces that minimize Python and native-language integration overhead.
• Own features throughout their lifecycle: design, implementation, testing, profiling, benchmarking, documentation, release, and long-term maintenance.
• Improve the Python developer experience through typing, packaging, examples, diagnostics, continuous integration, and compatibility testing.
• Collaborate with C/C++, Rust, compiler, and runtime engineers on shared architecture and API decisions.
• Work directly with users to investigate correctness, usability, compatibility, and performance issues.

• 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.