Job Description

Position Overview

• Location Type: Austin, TX (Onsite)
• Employment Type: W-2 Full-time Contract
• Salary: $35 - $45/hourly (based on experience and factors)

This contract position with Sustainable Talent supports Nvidia and their IPP Platform Group. The IPP Platform provides infrastructure and a platform for executing nearly half a million automated jobs per day on thousands of servers, improving the efficiency of thousands of Nvidia's Software Engineers. The role focuses on maintaining the availability and reliability of this critical platform, collaborating with Infrastructure and Architecture teams, and managing hardware inventory. Due to the complex nature of the platform and frequent bug fixes, a proactive approach to problem-solving is essential.

Requirements

• Associates or Bachelor’s degree in a technology-related major, or 2-4 years of equivalent experience in a Lab or Datacenter environment.
• Ability to perform well at work with minimal manager supervision.
• Ability to deploy and cable servers and test equipment.
• Basic understanding of UNIX/Windows operating systems, networking, and storage.
• Ability to work in a fast-paced environment.
• Comfortable multitasking and iterating over repetitive tasks.

Responsibilities

• Deploy, configure, and onboard Servers, Desktops, and GPUs in datacenters.
• End-to-end servicing of systems, including networking, storage, desktop servers, and OS installation and configuration.
• Active lifecycle management, including inventory and asset management.
• Maintain reliability and availability of all hardware.

Ways to Stand Out

• PC/MAC hobbyist/enthusiast; Gamer; Knowledge of Nvidia.
• Hardware interest/focus; NVIDIA GPU knowledge a plus!
• Experience with scripting (shell, Python) and the ability to read code (TCL, Java).
• Mechanically inclined and capable of physical/manual labor.

Company Information

Sustainable Talent offers competitive pay, full benefits, PTO, and a positive company culture. The IPP Platform Group supports Nvidia’s Graphics Processing, Deep/Machine Learning, Artificial Intelligence, and Autonomous Vehicles teams. The platform executes over 100,000 automated tests per day as part of a sophisticated DevOps pipeline.