Senior Software Engineer, CUDA C++ Core Libraries
Nvidia
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How this pay compares to similar roles
This role pays more than 95% of similar roles. Most pay $149,500–$201,745 — the shaded band above. At the midpoint, this role pays about $236k versus about $176k for comparable roles.
Based on 240 similar postings.
Employer
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.
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At a glance
As a Senior Software Engineer, CUDA Python Core Libraries, you will join the team building foundational libraries and runtime infrastructure to enhance the developer experience for GPU-accelerated software. You will design and implement idiomatic Python APIs, language bindings, and high-performance interfaces on top of native C/C++ foundations while defining interoperability boundaries between Python, C++, and Rust. Your daily work involves owning features through their entire lifecycle, including design, testing, profiling, benchmarking, and documentation. To succeed, you must possess strong production programming skills in both Python and C++, along with experience in systems software, concurrency, and GPU programming. You will collaborate with compiler and runtime engineers to solve complex problems regarding correctness and performance while improving developer tools through typing, packaging, and continuous integration within a large codebase involving CUDA C++, Thrust, CUB, and libcudacxx.
What does a Software Engineer earn in Remote?
Median $204500 from 415 postings across 57 companies.
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