Also called: AI Infrastructure Engineer, MLOps Engineer
Builds and runs the giant computer clusters and software pipelines that train and serve AI models.
You keep 10,000 GPUs busy training a model and figure out why one rack keeps crashing. When a training run costs millions of dollars, keeping it healthy is a big deal.
Estimate.
Approximate: anchored on Bureau of Labor Statistics data for a broader job group.
Bachelor's degree (4-year), about 5 years after high school. Bachelor's in CS or computer engineering plus systems experience.
Ways in: 4-year college, On-the-job training. Training cost: $15k – $60k.
Majors to look at: Computer Science, Computer Engineering.
Growing much faster than average. Exploding with AI data center buildout.
Low risk in 5 years, medium in 10. AI's appetite for compute drives demand for people who build and run training clusters; routine ops get automated.
Classes: AP Computer Science A, AP Physics, AP Calculus.
Official data: O*NET occupation 15-1252.
Career Universe is an early version. Pay, training and AI-risk figures are estimates to start your own research, not verified facts. The research was written with AI research assistants, checked by validation scripts and spot-checked by hand. Check anything important with schools, employers and official sources. How the numbers work.