This role pays more than
88%
of similar roles. Most pay
$142,400–$218,215
— the shaded band above.
At the midpoint, this role pays about
$236k
versus about
$180k
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
985 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 971 roles with salary data.
NVIDIA's Deep Learning Libraries Group is hiring software engineers to join their team in developing scalable infrastructure for NVIDIA’s high-performance deep learning libraries such as cuDNN and FlashInfer. The role involves designing and implementing automation for build, test, integration, and release processes across various platforms, from data centers to autonomous vehicles. Engineers will work on the entire software stack, including user experience and database layers, while configuring and maintaining industry-standard tools like Kubernetes, Jenkins, Docker, CMake, GitLab, and Jira. Ideal candidates have a strong background in Python or similar languages, experience with continuous integration systems, proficiency in SCM and build systems, and a passion for automation to streamline development processes. They should also possess knowledge of GPU computing, distributed systems, and cloud computing technologies, along with the ability to lead teams and contribute to open-source projects.