AI Infra平台研发工程师（大模型开发机方向） - Seed Model
Core
Design and develop backend systems for large model development machines, managing lifecycle, resource orchestration, and cloud-based development environments for algorithm research.
Role type
Senior IC backend engineer (AI Infra / Large Model Development Platform)
Builds
Cloud-native development platforms, resource scheduling systems, and developer environments for large model training and inference.
Domain
AI Infrastructure / Cloud Computing / Large Language Models
Deliverable
production ML models
Required skills
Backend system design, Kubernetes ecosystem, distributed systems, resource orchestration, cloud-native technologies, observability, cost optimization
Preferred skills
MLOps platforms, GPU cluster management, heterogeneous resource scheduling, AI Agent technologies, cloud provider experience
Technologies
Kubernetes, Go, Python, C++, Linux, Docker, Ray, Kubeflow, Volcano, Kueue, Argo Workflows
Responsibilities
Design backend systems for development machine lifecycle and resource isolation; Optimize Kubernetes resource scheduling for CPU/GPU and storage; Build cloud development experiences including Web IDEs and environment management; Architect core platform systems for stability and scalability; Collaborate with algorithm and infrastructure teams to improve efficiency; Drive platform engineering including service governance, monitoring, and capacity planning.
