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.

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++; both are required for this role.
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.

Senior Software Engineer, CUDA Core Libraries

Key skills