$184,000 – $287,500
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
NVIDIA is seeking a senior engineer to design and build Rust libraries for CUDA, creating safe abstractions over GPU computing APIs while maintaining tight integration with C/C++ and Python ecosystems. This role suits experienced systems programmers who want to shape the developer experience for accelerated computing at scale.
Our summary, not NVIDIA’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- BS, MS, or PhD in Computer Science, Computer Engineering, or related field (or equivalent experience)
- 8+ years of software development experience
- Production programming skills in Rust and C/C++
- Deep understanding of Rust ownership, lifetimes, traits, generics, concurrency, and unsafe code
- Experience developing systems libraries, runtime components, and developer-facing APIs
- Knowledge of foreign-function interfaces and Rust-C/C++ integration
- Understanding of systems software: performance, concurrency, API design
- Experience with parallel, heterogeneous, or GPU programming
- Contributing to production or open-source software (testing, profiling, benchmarking, packaging, code review)
- Ability to work independently and drive complex projects to completion
- Strong written communication and ability to work in multi-language codebases
Nice to have
- Deep understanding of CPU/GPU architecture and performance optimization
- Hands-on experience with GPU-accelerated stacks (CUDA C++, Python, PyTorch, JAX, Numba, CuPy)
- Proficiency with modern C++ and GPU libraries (Thrust, CUB, libcudacxx)
- Compiler infrastructure experience (LLVM, Clang, MLIR)
- Experience designing safe Rust abstractions over low-level or asynchronous systems
- Exposure to Python interoperability design
- Demonstrated interest in developer tools and library design