Senior Infrastructure Engineer, TensorRT Edge-LLM — Equity

NVIDIA AI; Santa Clara (CA); On-site; USD 190,000 - 230,000; Full time

Benefits offered by this job

Equity

Job summary

NVIDIA AI is seeking an experienced Infrastructure Engineer to develop and maintain scalable CI/CD pipelines for TensorRT Edge-LLM deployments. You will configure industry-standard tools and monitor embedded and desktop systems to ensure reliability and security.

Lead automation across cloud platforms (AWS/GCP/Azure) and collaborate with cross-functional teams to optimize performance and security in a fast-paced environment.

Qualifications

• Requires a degree in Computer Science or Engineering and over 7 years of experience with strong Python and C++ skills.
• Candidates must have proven expertise in automating continuous integration systems and administering cloud platforms.
• Experience configuring industry-standard tools and monitoring embedded & desktop systems.

Responsibilities

• Develop and maintain scalable infrastructure and CI/CD pipelines to streamline the development and deployment of TensorRT Edge-LLM.
• Configure industry-standard tools and monitoring of embedded and desktop systems for reliability and security.

Skills

Python

C++

CI/CD

Kubernetes

Docker

CMake

GitLab

GitHub Actions

AWS

GCP

Azure

Git

Perforce

Bazel

TensorRT

DevOps Strategy

Education

Degree in Computer Science or Engineering

Tools

Kubernetes

Docker

CMake

GitLab

GitHub Actions

AWS

GCP

Azure

Git

Perforce

Bazel

TensorRT

Job description

NVIDIA AI is seeking an experienced Infrastructure Engineer to develop and maintain scalable CI/CD pipelines for TensorRT Edge-LLM deployments. You will configure industry-standard tools and monitor embedded and desktop systems to ensure reliability and security.

Lead automation across cloud platforms (AWS/GCP/Azure) and collaborate with cross-functional teams to optimize performance and security in a fast-paced environment.