Software Engineer, ML Infrastructure
Core
Build distributed training and inference infrastructure for generative AI models serving millions of users.
Role type
Software Engineer, ML Infrastructure
Builds
Distributed training systems and optimized inference pipelines for generative media models
Domain
Generative AI, Cloud Infrastructure, GPU/TPU Workloads
Deliverable
infrastructure
Required skills
Large-scale production infrastructure development, Distributed systems design, Kubernetes, GCP, GPU/TPU workload management, Linux environment troubleshooting, Worker scaling for training/inference, ML model runtime knowledge
Preferred skills
None stated
Technologies
Kubernetes, GCP, Linux
Responsibilities
Design distributed training infrastructure, Optimize inference pipelines, Deploy and troubleshoot complex Linux computing environments, Scale workers for training or inference workloads
Seniority
Mid-level, hands-on IC