Overview
On Site
USD 148,000.00 per year
Full Time
Skills
Servers
Data Centers
Large Language Models (LLMs)
Deep Learning
User Experience
Database
Docker
CMake
GitLab
Computer Hardware
Testing
Computer Science
Computer Engineering
Python
C
C++
System Administration
Linux
Continuous Integration and Development
Continuous Integration
Problem Solving
Collaboration
Jenkins
Groovy
Cloud Computing
Kubernetes
GPU Computing
Embedded Systems
Operating Systems
Ubuntu
Red Hat Linux
Microsoft Windows
QNX
Apache Velocity
Recruiting
Promotions
SAP BASIS
Law
Job Details
We are now looking for a Senior Infrastructure Software Engineer for Deep Learning Libraries!
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 TensorRT, TensorRT-LLM, and cuDNN. The mission is to design and develop scalable, modular infrastructure that streamlines development, builds, and testing across NVIDIA's diverse set of platforms, from Drive AGX for autonomous vehicles to DGX servers for datacenters and large language models. 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:
What we need to see:
Ways to stand out from the crowd:
This is an opportunity to have a wide impact at NVIDIA by improving development velocity across our many compute software projects. Are you creative, driven, and autonomous? Do you love a challenge? If so, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 21, 2025.
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.
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 TensorRT, TensorRT-LLM, and cuDNN. The mission is to design and develop scalable, modular infrastructure that streamlines development, builds, and testing across NVIDIA's diverse set of platforms, from Drive AGX for autonomous vehicles to DGX servers for datacenters and large language models. 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, etc.)
- Enabling new platforms, which may include preparing hardware for testing and enabling testing in automation for new platforms
What we need to see:
- BS or equivalent experience or higher degree in Computer Science or Computer Engineering
- 5+ years of relevant experience
- Strong familiarity with Python (or similar) and experience with building C/C++ codebases
- System administration experience maintaining both Linux and Windows systems
- Experience setting up, maintaining, and automating continuous integration systems
- A pragmatic approach to solving problems and collaboration
Ways to stand out from the crowd:
- Experience designing and developing automation in Jenkins with Groovy (or similar)
- Background with distributed systems and cluster/cloud computing, especially with Kubernetes
- Knowledge of GPU computing systems
- Experience with mobile/embedded platforms and multiple operating systems (Ubuntu, RedHat, Windows, QNX, or similar)
- Track record of identifying useful new technologies and incorporating them into SW development flows
This is an opportunity to have a wide impact at NVIDIA by improving development velocity across our many compute software projects. Are you creative, driven, and autonomous? Do you love a challenge? If so, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 21, 2025.
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.