Senior Applied AI Infrastructure Engineer - NREC

Job overview

The Senior Applied AI Infrastructure Engineer works onsite in Pittsburgh, PA, leading the deployment and integration of AI tools and infrastructure at the National Robotics Engineering Center. Compensation is not specified in the posting. Carnegie Mellon University is a renowned educational institution inspiring global innovation. This role exists to advance AI-assisted engineering workflows and ensure reliable, secure model serving. The Senior Applied AI Infrastructure Engineer contributes to the team by designing and maintaining self-hosted AI services that support groundbreaking robotics research.

What you'll do

• Evaluate and deploy generative AI tools
• design and maintain AI infrastructure
• integrate AI with engineering systems
• develop secure tool interfaces
• measure reliability of AI workflows.

What we're looking for

Skills & competencies

full-time

day shift

pittsburgh pa

carnegie mellon

ai

infrastructure

robotics

onsite

no on-call

no travel

engineering

Work arrangement

• Weekend coverage required

Benefits & perks

• Medical, dental, and vision insurance
• Retirement savings program
• Tuition benefits
• Paid time off
• Fitness center access.

Why this role

Supports military/defense applications; requires work on multi-GPU systems.

About the employer

Carnegie Mellon University is hiring for this role. Industry: Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology). Sector: 54.