NVIDIA is seeking a Senior Software Engineer to enhance the C++ foundation of CUDA Core Libraries, which are essential for modern HPC and AI. The role involves designing and optimizing high-performance algorithms and APIs for C++ developers. The engineer will work on foundational libraries and collaborate with teams to improve developer productivity. This position requires a strong background in C++ programming and experience with parallel programming environments.

• 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 C and C++, with deep knowledge of modern C++.
• Experience with generic programming, templates, type systems, and standard-library design principles.
• Proven experience developing systems-level software with demanding performance, concurrency, and compatibility requirements.
• Practical experience with CUDA or another parallel or heterogeneous programming environment.
• Experience developing production software or foundational libraries, including testing, profiling, benchmarking, and code review.
• Understanding of API and ABI compatibility and the challenges of exposing C/C++ functionality to other languages.
• Ability to work independently, define project scope, and drive complex work to completion.
• Clear written communication skills for architecture documents, API specifications, and developer documentation.
• Comfort working in large C/C++ codebases with build systems, toolchains, and continuous-integration infrastructure.

• Design and implement foundational CUDA C++ libraries, parallel algorithms, utilities, and runtime abstractions.
• Compose and optimize GPU algorithms from high-level generic interfaces through low-level implementation.
• Design stable interoperability boundaries that allow core C/C++ functionality to be consumed efficiently from Python and Rust.
• Balance performance, compile time, portability, compatibility, usability, and long-term API evolution.
• Own features throughout their lifecycle: design, implementation, testing, profiling, benchmarking, documentation, release, and maintenance.
• Improve developer productivity through diagnostics, examples, build integration, tests, benchmarks, and continuous integration.
• Collaborate with Python, Rust, compiler, and runtime engineers during architecture, design, and code reviews.
• Engage with users on performance investigations, API feedback, and correctness 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.