Senior Infrastructure Engineer — Edge-LLM CI/CD & Equity

NVIDIA; California (MO); On-site; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Infrastructure Software Engineer for TensorRT Edge-LLM to drive the infrastructure and DevOps for edge AI across Drive and Jetson platforms. You will design scalable, modular systems, collaborating with external partners to accelerate development, builds, and tests across NVIDIA's compute stack.

You will own CI/CD pipelines, automate deployments, and optimize tooling across the stack from user interfaces to cluster layers, ensuring system reliability on embedded and

Qualifications

• BS or equivalent experience in Computer Science or Computer Engineering.
• 7+ years of proven experience.
• Strong programming skills in Python and familiarity with modern C/C++ development.
• Experience setting up, maintaining, and automating continuous integration systems (e.g. Jenkins, GitHub Actions, GitLab CI).
• Experience administering, monitoring, and deploying systems and services on GitHub and cloud platforms (e.g. AWS, GCP, Azure).
• Fluency in SCM (e.g. Git, Perforce) and build systems (e.g. CMake, Make, Bazel).

Responsibilities

• Build and maintain infrastructure to deliver TensorRT Edge-LLM.
• Maintain CI/CD pipelines to optimize build and test processes.
• Configure and extend deployments of tools (Kubernetes, Docker, CI systems).
• Develop across the software stack from UI to cluster layers.
• Monitor and stabilize embedded and desktop CPU/GPU CI/CD systems.
• Handle security CVEs for infrastructure components.

Skills

Python

C/C++

CI/CD

GitHub Actions

Jenkins

Cloud platforms (AWS/GCP/Azure)

Git / Perforce

Build systems (CMake/Make/Bazel)

Education

BS in Computer Science or Computer Engineering

Tools

Kubernetes

Docker

Jenkins

GitHub Actions

GitLab CI

CMake

AWS

GCP

Azure

Job description

NVIDIA is seeking a Senior Infrastructure Software Engineer for TensorRT Edge-LLM to drive the infrastructure and DevOps for edge AI across Drive and Jetson platforms. You will design scalable, modular systems, collaborating with external partners to accelerate development, builds, and tests across NVIDIA's compute stack.

You will own CI/CD pipelines, automate deployments, and optimize tooling across the stack from user interfaces to cluster layers, ensuring system reliability on embedded and