Sr AI Infrastructure Engineer
aap3
- Ort
- Costa Mesa, US
- Arbetsplats
- På plats
- Anställningsform
- Heltid
- Lön
- $108k–$148k
- Publicerat
- I går
- Källa
- DevITJobs
Requirements:
- Experience leading the design, execution, and long-term reliability of GPU training infrastructure at scale
- Expertise in GPU cluster robustness, high availability, fault tolerance, and resilience
- Experience tuning NCCL and high-speed networking
- Experience optimizing Kubernetes, Run:AI, and Ray scheduling
- Ability to build automated deployment tooling, self-healing mechanisms, and deep observability
Responsibilities:
- Own the reliability and stability of high-performance GPU clusters
- Develop automated mechanisms to detect and isolate hardware faults
- Tune NCCL and high-speed networking
- Optimize scheduling across Kubernetes, Run:AI, and Ray
- Replace manual triage with automated deployment tooling and observability
- Ensure training infrastructure operates reliably and scales without proportional headcount growth
Technologies:
- AI
- Hardware
- Kubernetes
- Machine Learning
- DevOps
More
We are seeking a Senior AI Infrastructure Engineer to lead how we train models with GPUs at scale. You will work hands-on with infrastructure supporting our machine learning platform and research teams across the company, focusing on logical stability and automated resilience.
last updated 43 week of 2026