Machine Learning System Scheduling Engineer Graduate (Applied Machine Learning) - 2027 Start
San Jose, California, United States
USD 128K-256K Entry-level Full Time
Tasks
- Design resource scheduling systems for machine learning workloads
- Develop orchestration and scheduling for heterogeneous compute resources
- Ensure multi tenant isolation for scheduled workloads
- Improve resource utilization and efficiency
- Optimize storage and network resource scheduling across clusters
- Support offline training scheduling
- Support online inference scheduling
Perks/Benefits
- N/A
Skills/Tech-stack
Algorithms | CUDA | Cloud Storage | Computer Science | Containerization | Data Structures | Distributed Systems | Docker | Elasticity | GPU scheduling | Go | High Performance | High-Performance Computing | Java | Kubernetes | Linux | Mesos | Networking | Performance Computing | PyTorch | Python | QoS | RDMA | TensorFlow | VPC | Virtualization | YARN
Regions
Countries
States
Cities
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