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Senior Software Engineer, CUDA C++ Core Libraries

NVIDIA· Engineer, Sys SW
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Santa Clara, CA, Hybrid (Remote US)$184k - $287.5k + equityFull-timePosted 3mo ago

About the role

Senior Software Engineer to advance the C++ foundation of CUDA Core Libraries, designing and optimizing high-performance CUDA C++ libraries, algorithms, and runtime abstractions, with focus on cross-language interoperability and scalable GPU-accelerated software.

Responsibilities

  • 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.

Qualifications

  • BS, MS, or PhD in Computer Science, Computer Engineering, or a related field, or equivalent experience and 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.

Skills

Required:CUDA/C++Generic programmingAPI/ABI compatibility
Nice to have:Cross-language interoperability

Benefits

  • equity
  • benefits (as listed in company benefits)
Last updated Sep 4, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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