Job Description

NVIDIA's Deep Learning Libraries Group is looking for skilled software engineers to develop high-performance deep learning libraries like cuDNN and FlashInfer. The role involves creating scalable infrastructure for development, testing, and deployment across various platforms, including datacenters and autonomous vehicles.

Requirements

BS or equivalent experience or higher degree in Computer Science or Computer Engineering with 5+ years of relevant experience.
Strong programming skills in Python (or similar) and familiarity with C/C++ development.
Experience setting up, maintaining, and automating continuous integration systems.
Proficiency in SCM (e.g. Git, Perforce) and build systems (e.g. Make, CMake, Bazel).
A pragmatic approach to solving problems collaboratively with a passion for 'it just works' automation.

Responsibilities

Designing and developing software for testing and analysis of our codebases.
Building scalable automation for build, test, integration, and release processes for publicly distributed deep learning libraries.
Developing throughout the software stack, from the user experience down to the cluster and database layers.
Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. Kubernetes, Jenkins, Docker, CMake, Gitlab, Jira, etc).
Advancing innovations in those industry-standard tools and upstreaming contributions to the open source community.

Benefits

Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.