About the role
A role like this is open right now in New York, at a large software development company. You will own the infrastructure that lets researchers run large-scale AI workloads reliably, from job submission through training and inference. The role exists to improve researcher productivity and to turn experimental work into repeatable pipelines.
What you'll do
- Design and operate services for job submission, scheduling, orchestration and monitoring
- Run training and inference workloads across GPU fleets
- Improve reliability and researcher productivity
- Shape the research-compute roadmap
- Mentor engineers and turn experimental workloads into robust, repeatable pipelines
What you bring
- Staff-level experience building infrastructure for large-scale AI research workloads
- Hands-on background in scheduling, orchestration and monitoring systems
- Experience supporting training and inference on GPU fleets
- Ability to mentor engineers and influence a technical roadmap
Details
- Location: New York, United States
- Type: Full-time
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