ML & Cloud Infrastructure Engineer Intern
Core
Build and operate training, data, or evaluation infrastructure for physical AI systems used by the software team.
Role type
ML & Cloud Infrastructure Engineer Intern
Builds
Training, data, and evaluation infrastructure for physical AI robots
Domain
Robotics, AI, Cloud Infrastructure
Deliverable
infrastructure
Required skills
Python, cloud services (AWS/GCP), containers, CI/CD, problem-solving
Preferred skills
Kubernetes, Ray, Spark, Terraform, observability stacks, ML experiment tooling
Technologies
AWS, GCP, Kubernetes, Ray, Spark, Terraform
Responsibilities
Build and operate training, data, or evaluation infrastructure; Work with GPU clusters, orchestration, and data pipelines at scale; Instrument, monitor, and harden the pipeline; Test work on real robots
Seniority
Intern
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