Senior Software Engineer, DL Libraries Infrastructure

Nvidia Corporation; Santa Clara (CA); On-site; USD 152,000 - 241,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Nvidia Corporation in Santa Clara is seeking skilled software engineers to enhance its deep learning libraries, focusing on scalable infrastructure development. This role involves direct contributions to critical products such as cuDNN and FlashInfer.

Candidates should have at least a BS in Computer Science or Engineering, proficiency in Python, familiarity with C/C++, and experience in continuous integration systems. The salary range is competitive, with benefits and equity options available.

Qualifications

• 3+ years of relevant experience in software engineering.
• Experience setting up and maintaining continuous integration systems.
• Solid debugging and problem-solving skills.

Responsibilities

• Design and develop software for testing and analysis.
• Build scalable automation for build and release processes.
• Develop across the software stack from user experience to backend.

Skills

Programming skills in Python

Familiarity with C/C++

Continuous integration automation

SCM proficiency (e.g., Git, Perforce)

Collaboration problem-solving

Education

BS or higher in Computer Science or Computer Engineering

Tools

Kubernetes

Jenkins

Docker

CMake

Gitlab

Jira

Job description

NVIDIA's Deep Learning Libraries Group is seeking excellent software engineers to enable the next wave of NVIDIA's highest performing deep learning libraries. The role spans multiple products, including cuDNN and FlashInfer . The mission is to design and develop scalable, modular infrastructure that streamlines development, build, and test across NVIDIA's diverse set of platforms, from datacenter to autonomous vehicles. Join our technically diverse team of software engineers and infrastructure experts to design the systems that enable NVIDIA to stay ahead of the competition as we deliver the world's fastest deep learning platforms.

What you'll be doing:

• 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 innovative in those industry-standard tools and upstreaming contributions to the open source community

What we need to see:

• BS or equivalent experience or higher degree in Computer Science or Computer Engineering with 3+ 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 to enable team members

Ways to stand out from the crowd:

• Experience designing and developing automation in Jenkins, Gitlab CI/CD, or Github Actions and 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
• Knowledge of GPU computing systems and experience with mobile/embedded platforms and multiple operating systems (Ubuntu, CentOS, Windows, L4T, or similar)

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until May 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.