Senior Deep Learning Engineer – Autonomous Vehicles
Tasks
- Build distributed training pipelines for massive video datasets
- Collaborate with researchers and model engineers to minimize training stalls
- Craft deep learning infrastructure libraries and frameworks
- Enable rapid experimentation
- Ensure infrastructure scales with GPU capacity and dataset growth
- Implement fault resilient training systems
- Improve training stack efficiency
- Maintain developer efficiency and system stability
- Own orchestration libraries and distributed training frameworks
- Scale and harden training infrastructure
Perks/Benefits
- N/A
Skills/Tech-stack
Automation | C++ | DDP | Data loading | Datacenter Networking | Deep learning | Distributed Training | Elastic Training | FSDP | Fault Tolerance | Infiniband | Kubernetes | Lustre | NCCL | Observability | Orchestration | Parallel Filesystems | Performance Profiling | Pipeline parallelism | PyTorch | Python | RDMA | Reinforcement Learning | RoCE | Scheduling | Slurm | Storage Systems | Tensor Parallelism
Education
Regions
Countries
States
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