Infrastructure Software Engineer, Deep Learning Libraries at NVIDIA

Beijing, Beijing, China -

Full Time

Start Date

Immediate

Expiry Date

14 Apr, 26

Salary

0.0

Posted On

14 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, C/C++, Continuous Integration, Jenkins, Git, Perforce, Make, CMake, Bazel, Automation, Kubernetes, Docker, Testing, Cloud Computing, GPU, Embedded Platforms

Industry

Computer Hardware Manufacturing

Description

We are now looking for a 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 and TensorRT-LLM. The mission is to design and develop scalable, modular infrastructure that streamlines development, build, and test 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, Github, Gitlab, Jira, etc) Advancing state of the art in those industry-standard tools What we need to see: BS or equivalent experience or higher degree in Computer Science or Computer Engineering 2+ 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 (e.g. Jenkins) Fluency in SCM (e.g. Git, Perforce) and build systems (e.g. Make, CMake, Bazel) A pragmatic approach to solving problems and collaboration Passion for "it just works" automation and enabling team members 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 Experience designing and developing unit and integration test frameworks Hands-on experience with code coverage and static code analysis tools Experience with GPU, mobile/embedded platforms and multiple operating systems (Ubuntu, RedHat, Windows, QNX, L4T, or similar) This is an opportunity to have a wide impact at NVIDIA by improving development velocity across our many deep learning software projects. Are you creative, driven, and autonomous? Do you love a challenge? If so, we want to hear from you! NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

Design and develop software for testing and analysis of codebases while building scalable automation for build, test, integration, and release processes. Work across the software stack, from user experience to cluster and database layers.