Skip to main content
Loading
snaprecruit
Logo
Close
Log in
Sign Up
Post a Job

Millions Of Active Candidates

For Employers
VIEW SIMILAR JOBS →
loadingbar
Loading, Please wait..!!

GPU-Driven DevOps Engineer for AI ModelOps

  • Job type Posted on: Jul 07, 2026
  • Experience level Sas
  • Employment type Cary, North Carolina
  • Employment type Onsite
  • Salary Full-time
Save this job

Point Apply Here APPLY LATER

Curious about compensation?

Explore the historical salary trends, average pay, and estimated compensation for GPU-Driven DevOps Engineer for AI ModelOps roles in North Carolina.

View Salary Guide →
Over 12 millions jobs on Snaprecruit.
Find your match !
VIEW SIMILAR JOBS →

Job Title :

GPU-Driven DevOps Engineer for AI ModelOps

Job Type :

Full-time

Job Location :

Cary North Carolina United States

Remote :

No

Jobcon Logo Job Description :

View Full Description
Sas in Cary, North Carolina is hiring a DevOps Engineer to manage GPU infrastructure for AI deployments. This hybrid role involves developing and maintaining systems that support efficient AI delivery and collaborating with data scientists to enhance productivity. The ideal candidate has at least 5 years of experience with GPU systems, Docker, and Python. Sas offers a comprehensive benefits package, including flexible work arrangements, tuition assistance, and generous time off policies. #J-18808-Ljbffr

People Also Search For

Jobcon Logo Position Details

Posted:

Jul 07, 2026

Reference Number:

14660_E0EF4F0F5EA57E22ED57710AFCBE464D

Employment:

Full-time

Salary:

Not Available

City:

Cary

Job Origin:

APPCAST_CPC

Share this job:

  • linkedin

Jobcon Logo
A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!
Get your FREE tickets

GPU-Driven DevOps Engineer for AI ModelOps    Apply

Click on the below icons to share this job to Linkedin, Twitter!

Sas in Cary, North Carolina is hiring a DevOps Engineer to manage GPU infrastructure for AI deployments. This hybrid role involves developing and maintaining systems that support efficient AI delivery and collaborating with data scientists to enhance productivity. The ideal candidate has at least 5 years of experience with GPU systems, Docker, and Python. Sas offers a comprehensive benefits package, including flexible work arrangements, tuition assistance, and generous time off policies. #J-18808-Ljbffr

Loading
Please wait..!!