Senior Principal AI Engineer
Remote - USA, United States
R
USD 129K-190K (estimate) Senior-level Full Time
Tasks
- Apply memory optimization techniques
- Balance compute memory and communication
- Design distributed training systems
- Diagnose and resolve compute memory and network bottlenecks
- Ensure efficient scheduling isolation and fairness
- Improve training stability and fault tolerance
- Minimize networking bottlenecks
- Optimize GPU cluster orchestration
- Optimize and debug distributed communication
- Optimize multi node multi GPU execution
- Own multi node launch configurations and failure recovery
- Scale large model training with distributed frameworks
Perks/Benefits
- N/A
Skills/Tech-stack
Activation checkpointing | Cluster Orchestration | Data parallelism | DeepSpeed | Distributed communication | Fault Tolerance | GPU Cluster | GPU cluster orchestration | Infiniband | Kubernetes | Megatron-LM | Memory Optimization | NCCL | NVLink | Pipeline parallelism | PyTorch distributed | RDMA | Ray | RunAI | Slurm | Tensor Parallelism | Zero
Education
N/A
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