About the role
What will you do at SOLX?
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.
Which skills does this role require?
Make your next move
Build a shortlist and prepare
Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.
- Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
- Platform engineering jobsCompare current openings and review what to look for in this role.
- Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.
Other roles to compare
Review the responsibilities and requirements before adding an opening to your shortlist.
Senior AI Infrastructure Software Engineer - DGX Cloud
NVIDIA · Redmond, Washington, United States
Security Engineer - Infrastructure Security
Figure · San Jose, California, United States
Data and ML Infrastructure Engineer
HavocAI · United States
Machine Learning Infrastructure Engineer
Bright Vision Technologies · Hillsboro, Oregon, United States
Neural Data Infrastructure Engineer
Blackrock Neurotech · Salt Lake City, Utah, United States
Software Engineer, Infrastructure Services (Data Plane)
Apple · California, United States
Role information can change. Confirm current details on the original application page.
