This role pays more than
90%
of similar roles. Most pay
$172,000–$230,650
— the shaded band above.
At the midpoint, this role pays about
$236k
versus about
$201k
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
563 open roles
on FindRole.
Listed pay typically runs
$168,000–$264,500
across 556 roles with salary data.
Join NVIDIA’s team as a full-time Software Engineer focusing on developing and implementing CUDA Core Libraries in C++ and Python for GPU-accelerated software. You will design, optimize, and maintain parallel algorithms and idiomatic language bindings, ensuring high performance across deep learning, scientific computing, and data analytics applications. Responsibilities include end-to-end feature ownership from development to long-term maintenance, improving developer experience through CI systems, testing, benchmarks, packaging, examples, and documentation. Collaborate with senior engineers on design reviews and open-source workflows while engaging directly with users for feedback and performance investigations. Ideal candidates have extensive experience in C++ or Python, a strong background in parallel programming, and hands-on knowledge of CUDA technologies like CCCL, cuda-python, and numba-cuda.