Software Engineer II
Core
Design, develop, and deliver GPU/AI infrastructure platforms and tools for LLM workloads, including resource management, workload scheduling, and distributed training/inference.
Role type
Senior IC software engineer (GPU/AI infrastructure)
Builds
GPU resource management platforms, workload schedulers, distributed training/inference systems, and engineering infrastructure for AI frameworks
Domain
Cloud infrastructure + AI/ML
Deliverable
production ML models
Required skills
Python, Go, C++, Linux, Docker, Kubernetes, CUDA, NCCL, RDMA, distributed systems, AI Coding/AI Agents
Preferred skills
LLM training, inference, GPU cluster infrastructure
Technologies
Kubernetes, Docker, CUDA, NCCL, RDMA
Responsibilities
Design and develop GPU/AI infrastructure platforms; Build core capabilities for GPU resource management and workload scheduling; Optimize GPU cluster performance and stability; Work with algorithm and business teams to solve AI workload engineering challenges
Seniority
Mid-level IC
