Senior Software Engineer, DL Libraries Infrastructure

About the role

NVIDIA's Deep Learning Libraries Group seeks talented software engineers to enhance NVIDIA's high-performance deep learning libraries, including cuDNN and FlashInfer. The role involves designing and developing scalable infrastructure to streamline development, build, and test across various NVIDIA platforms.

Responsibilities

• Designing and developing software for testing and analysis of codebases
• Building scalable automation for build, test, integration, and release processes for publicly distributed deep learning libraries
• Developing throughout the software stack, from user experience to cluster and database layers
• Configuring, maintaining, and building upon industry-standard tools such as Kubernetes, Jenkins, Docker, CMake, GitLab, Jira, etc.
• Advancing innovative tools and contributing to the open source community

Requirements

• Bachelor's or equivalent 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 automation

Qualifications

• Experience designing and developing automation in Jenkins, GitLab CI/CD, or GitHub Actions
• Background with distributed systems and cluster/cloud computing (e.g. Slurm, containers, Kubernetes, etc.)
• Experience designing and developing unit and integration test frameworks with hands-on experience using code coverage and static code analysis tools
• Experience leading a team of engineers or contributing to a large-scale software project
• Knowledge of GPU computing systems and experience with mobile/embedded platforms and multiple operating systems (Ubuntu, CentOS, Windows, L4T, or similar)

Skills

• Experience with AI tools
• Knowledge of GPU computing systems
• Experience with mobile/embedded platforms and multiple operating systems

Benefits

• Base salary range: $184,000 - $287,500 for Level 4, and $224,000 - $356,500 for Level 5
• Eligibility for equity and benefits

Pay

• Base salary determined based on location, experience, and comparable positions

Schedule

• Application deadline: April 26, 2026

Benefits

• Equity
• Benefits

Equal Opportunity Employer

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We highly value diversity in our current and future employees.