below marketmost similar roles pay hereabove market
This role pays more than
95%
of similar roles. Most pay
$151,000–$205,362
— the blue band above.
At the midpoint, this role pays about
$236k
versus about
$178k
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
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
Senior Software Engineer, CUDA Rust Core Libraries joins the team building foundational libraries, algorithms, and language runtime infrastructure for accelerated computing. This role involves designing and implementing idiomatic Rust APIs for foundational CUDA functionality and GPU algorithms while building safe Rust abstractions over native C/C++ interfaces. You will develop C/C++ components to support Rust-facing functionality, establish interoperability for downstream Python integration, and optimize performance across Rust, native C/C++, and GPU execution boundaries. Key responsibilities include owning features from design through release, improving developer experience via diagnostics and build integration, and resolving issues regarding safety and correctness. Required skills include production programming in Rust and C/C++, knowledge of foreign-function interfaces, systems software concepts, and experience with parallel or GPU programming.
What does a Software Engineer earn in California?
Median $214500 from 1193 postings across 76 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 C/C++ components required to support Rust-facing functionality.
Establish safe and efficient interoperability between Rust and C/C++ for 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 release.
Improve the Rust developer experience through examples, diagnostics, build integration, and compatibility testing.
Investigate and resolve user issues related to safety, correctness, usability, 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.
Experience with parallel, heterogeneous, or GPU programming.
Experience contributing to production or open-source software, including testing, profiling, benchmarking, packaging, and code review.
Strong understanding of CPU/GPU architecture and performance optimization with hands-on experience in GPU-accelerated stacks (preferred).