About the Opportunity
About Khoury College
Khoury College is committed to building a community of belonging among students, faculty and staff. We strongly encourage applicants from individuals with disabilities, veterans, and those with varied experiences and backgrounds. We invite you to join a fast-moving, ambitious college with an underlying mission that is driven by our motto of "CS for Everyone."
About the National Deep Inference Fabric
The National Deep Inference Fabric (NDIF) is an artificial intelligence (AI) research infrastructure project funded by $9 million from the National Science Foundation (NSF) and more than $4 million from private foundations. Its mission is to create an innovative, highly transparent, large-scale AI inference infrastructure that enables cutting-edge scientific research on the largest open AI models.
Job Summary
NDIF is seeking an experienced Site Reliability Engineer to advance the reliability and coordinate the day-to-day operations of its growing research platform. This role creates systems that keep distributed services healthy and available, makes clusters easier to debug and operate, and builds tooling that enables the platform to scale as demand and deployments grow. This is a hands-on role with significant latitude for assessing complex technical problems, determining priorities, and delivering innovations with minimal oversight. A research background is not required, but knowledge of machine learning operations (MLOps) is highly desirable. The successful candidate will have experience operating production systems, a commitment to operating them well, and motivation to contribute to AI safety and interpretability.
Key Responsibilities & Accountabilities
- Measure and improve the reliability, availability, and performance of the platform used by research teams