Principal Software Engineer
Core
Define technical direction for cloud infrastructure and machine learning platforms, designing distributed systems for model training, inference, and data processing.
Role type
Principal Software Engineer (ML Infrastructure & Platform)
Builds
Cloud infrastructure, ML platforms, distributed systems, and MLOps frameworks.
Domain
Cloud computing, Machine Learning, Artificial Intelligence, Distributed Systems
Deliverable
production ML models | infrastructure
Required skills
Kubernetes, container orchestration, cloud platforms, networking, storage systems, site reliability engineering, large-scale distributed systems, machine learning platform design, GPU infrastructure, distributed batch scheduling, MLOps frameworks, KubeRay, Kueue, large language model ecosystems, foundation model training and inference, model serving, observability, enterprise AI infrastructure scaling, architecture leadership, technical strategy.
Preferred skills
Go, C, C++, C#, Java, JavaScript, Python
Technologies
Kubernetes, KubeRay, Kueue
Responsibilities
Define technical direction for cloud infrastructure and ML platforms; Design and review distributed systems for model training and inference; Align architecture, reliability, security, and scalability with partner teams; Improve platform efficiency in compute utilization and resource management; Support MLOps practices for model lifecycle management; Provide technical guidance for AI workloads in production; Contribute to long-term platform planning and engineering best practices.
Seniority
Principal, strategy & mentorship
