Senior GPU Supercomputer Scheduler Engineer
Core
Design and implement GPU compute cluster scheduling solutions to manage deep learning and high-performance computing workloads.
Role type
Senior IC GPU Supercomputer Scheduler Engineer
Builds
GPU compute clusters, batch workload management services, and orchestration tools
Domain
High-performance computing, AI/ML infrastructure, Cloud computing
Deliverable
production ML models
Required skills
Batch scheduling, Systems programming (C/C++/Go), Linux, Container technologies, Performance tuning, Automation, Root cause analysis
Preferred skills
High-performance computing, Open Source contributions, Deep learning frameworks (PyTorch/TensorFlow)
Responsibilities
Design scheduling features for resource fairness and GPU efficiency, Develop batch workload orchestration services, Provide support for batch scheduler issues, Build ecosystem around GPU-accelerated computing, Analyze and optimize deep learning workflows, Develop large-scale automation solutions
Seniority
Senior, hands-on IC
