PR · On-site
Pursuing a degree in Computer Science, Computer Engineering, or a related field ... Experience with Python and ML tooling (PyTorch, containers, cloud). * Interest in distributed ...
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PR · On-site
Pursuing a degree in Computer Science, Computer Engineering, or a related field ... Experience with Python and ML tooling (PyTorch, containers, cloud). * Interest in distributed ...
Summer Cloud Engineer Intern information
What is the difference between Summer Cloud Engineer Intern vs Summer Cloud Developer Intern?
| Aspect | Summer Cloud Engineer Intern | Summer Cloud Developer Intern |
|---|---|---|
| Primary Focus | Infrastructure, cloud systems, deployment, and operations | Application development, coding, and software design |
| Required Skills | Cloud platforms (AWS, Azure), scripting, system administration | Programming languages (Java, Python), software engineering |
| Work Environment | Hands-on with cloud infrastructure, system setup | Writing code, developing applications |
| Common Employers | Tech companies, cloud service providers | Software firms, tech startups |
While both roles involve cloud technologies, the Summer Cloud Engineer Intern focuses on infrastructure and deployment, whereas the Summer Cloud Developer Intern emphasizes application development and coding. Understanding these differences helps candidates choose the right internship based on their skills and career goals.
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What cities in Puerto Rico are hiring for Summer Cloud Engineer Intern jobs? Cities in Puerto Rico with the most Summer Cloud Engineer Intern job openings:
Internship
Posted 4 days ago
Job description
Build the infrastructure behind Solx's distributed compute and AI — data pipelines, GPU/compute scheduling, and the platform that trains and serves models against real production data.
What you'll do
- Support ML infrastructure — data pipelines, training, and inference workflows.
- Help build tooling for compute scheduling, monitoring, and reliability.
- Work with real manufacturing and compute data.
- Contribute to the distributed compute and orchestration stack.
What you bring
- Pursuing a degree in Computer Science, Computer Engineering, or a related field.
- Experience with Python and ML tooling (PyTorch, containers, cloud).
- Interest in distributed systems and compute at scale.
- Spanish a plus.