Senior Software Engineer, CUDA C++ Core Libraries

Nvidia

Confirmed live 2 days ago High trust

Remote

Quick summary

Work type: Remote
Location: CA, Canada
Salary: $184,000–$287,500 / yr
Posted: 11 days ago
Freshness: Confirmed live 2 days ago
Closes: Nov 1, 2026
Nearby: 18 roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $175k

This role $236k

$100k most similar roles pay here $308k

This role pays more than 94% of similar roles. Most pay $147,250–$202,482 — the shaded band above. At the midpoint, this role pays about $236k versus about $175k 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.

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View all roles at Nvidia

At a glance

TL;DR · Senior Software Engineer, CUDA C++ Core Libraries

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As a Senior Software Engineer, CUDA C++ Core Libraries, you will join the team building foundational libraries, algorithms, and runtime infrastructure for GPU-accelerated software. You will design and implement high-performance parallel algorithms, utilities, and runtime abstractions while optimizing code from high-level interfaces to low-level implementations. Your daily work involves managing the full lifecycle of features including testing, profiling, benchmarking, and documentation. You will also establish stable interoperability boundaries for C/C++ functionality to be consumed by Python and Rust. The role requires expertise in modern C++, C, generic programming, templates, and systems-level software development. You will utilize CUDA, Thrust, CUB, and libcudacxx while navigating complex requirements like API/ABI compatibility and performance optimization. This position focuses on the core infrastructure that enables scalable, high-performance computing for developers and AI coding agents.

What does a Software Engineer earn in California?

Median $214000 from 775 postings across 63 companies.

See salary data

Skills

C++ CUDA Python Rust C Thrust CUB libcudacxx LLVM Clang MLIR PyTorch JAX Numba CuPy Profiling Benchmarking

What you'll do

Design and implement foundational CUDA C++ libraries, parallel algorithms, and runtime abstractions.
Optimize GPU algorithms from high-level generic interfaces through low-level implementations.
Create stable interoperability boundaries for core C/C++ functionality to be consumed by Python and Rust.
Manage the full lifecycle of features including design, implementation, testing, profiling, and maintenance.
Improve developer productivity through diagnostics, examples, build integration, and continuous integration.
Resolve user issues regarding performance investigations, API feedback, and correctness.
Author technical documentation for architecture designs, API specifications, and developer guides.

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 C and C++ with deep knowledge of modern C++.
Experience with generic programming, templates, type systems, and standard-library design principles.
Proven experience developing systems-level software with demanding performance, concurrency, and compatibility requirements.
Practical experience with CUDA or another parallel or heterogeneous programming environment.
Experience developing production software or foundational libraries including testing, profiling, benchmarking, and code review.
Understanding of API/ABI compatibility and exposing C/C++ functionality to other languages like Python and Rust.

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