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Senior Software Engineer, CUDA Rust Core Libraries

NVIDIA· Engineer, Sys SW
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Santa Clara, CA, Remote$184k - $287.5kFull-timePosted 3mo ago

About the role

Senior Software Engineer to develop the Rust experience for CUDA Core Libraries, designing safe Rust APIs for GPU computing and integrating with C/C++ components within NVIDIA’s CUDA core libraries.

Responsibilities

  • Design and implement idiomatic Rust libraries and APIs for foundational CUDA functionality and GPU algorithms.
  • Build safe Rust abstractions over native CUDA and C/C++ interfaces.
  • Develop and maintain the C/C++ components required to support Rust-facing functionality.
  • Establish safe and efficient interoperability between Rust and C/C++, including interfaces that support downstream Python integration.
  • Optimize performance across Rust, native C/C++, and GPU execution boundaries.
  • Own features end-to-end: design, implementation, testing, profiling, benchmarking, documentation, packaging, release, and maintenance.
  • Improve the Rust developer experience through examples, diagnostics, build integration, compatibility testing, CI, and collaboration with C/C++, Python, compiler, and runtime engineers.
  • Work with users to investigate and resolve issues related to safety, correctness, usability, compatibility, and performance.

Qualifications

  • BS, MS, or PhD in Computer Science, Computer Engineering, or related field, or equivalent experience.
  • 8+ years of relevant software development experience.
  • Strong production programming skills in Rust and C/C++, with deep understanding of Rust ownership, lifetimes, traits, generics, concurrency, and unsafe code.
  • Experience developing systems libraries, runtime components, and developer-facing APIs.
  • Practical knowledge of foreign-function interfaces and integrating Rust with C/C++ software.
  • Solid understanding of systems software concepts, including performance, concurrency, and API design.
  • Experience with parallel, heterogeneous, or GPU programming.
  • Experience contributing to production or open-source software, including testing, profiling, benchmarking, packaging, and code review.
  • Ability to work independently, define scope, and drive complex projects to completion.
  • Strong written communication skills and ability to work effectively in large, multi-language codebases (Rust, C/C++, build systems, toolchains, CI).

Skills

Required:RustC/C++Foreign Function Interface (FFI)Systems softwareGPU programmingCommunication
Nice to have:Open-source / production software contributionPython interoperability

Benefits

  • equity
  • benefits (see NVIDIA benefits website)
Last updated Sep 4, 2026. Interested? Apply on the company site.

About NVIDIA

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