This role pays more than
90%
of similar roles. Most pay
$149,500–$221,250
— the shaded band above.
At the midpoint, this role pays about
$236k
versus about
$185k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
As a Senior Software Engineer, CUDA Rust Core Libraries, you will join the team building foundational libraries and runtime infrastructure for GPU-accelerated software. You will design and implement idiomatic Rust APIs for CUDA functionality while developing safe abstractions over native C/C++ interfaces. Your daily work involves managing end-to-end features including implementation, testing, profiling, benchmarking, and documentation to improve the developer experience. The role requires deep expertise in Rust—specifically ownership, lifetimes, traits, and concurrency—alongside strong production programming skills in C/C++. You will solve technical challenges regarding performance optimization across execution boundaries and ensure seamless interoperability between Rust, C/C++, and Python. Key technologies include CUDA, LLVM, Clang, MLIR, and libraries like Thrust or CUB. This role focuses on the core infrastructure that enables high-performance computing and AI coding agents through robust software systems.
What does a Software Engineer earn in California?
Median $214000 from 775 postings across 63 companies.
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 downstream Python integration.
Optimize performance across Rust, native C/C++, and GPU execution boundaries.
Own features end-to-end including design, implementation, testing, profiling, benchmarking, and documentation.
Improve the Rust developer experience through examples, diagnostics, build integration, and compatibility testing.
Resolve user issues related to safety, correctness, usability, compatibility, and performance.
What we're looking for
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 Rust and C/C++ with deep knowledge 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.
Rust
C++
Python
Matlab
Kalman Filters
Particle Filters
Sensor Fusion
State Estimation
Signal Processing
Machine Learning
NoSQL
Big Data Pipelines
Linear Algebra
Stochastic Processes
Software Architecture