Senior Deep Learning Software Infrastructure Engineer
Core
Build and scale training libraries and infrastructure enabling end-to-end autonomous driving models on thousands of GPUs.
Role type
Senior Deep Learning Software Infrastructure Engineer
Builds
Training libraries, orchestration frameworks, and fault-resilient systems for massive GPU clusters.
Domain
Autonomous Vehicles / Deep Learning Infrastructure / High-Performance Computing
Deliverable
production ML models
Required skills
Distributed systems, Deep learning frameworks (PyTorch), Large-scale training (DDP/FSDP, NCCL), Datacenter networking (RoCE, IB), Python, Performance profiling
Preferred skills
Fault resilience, High availability, Elastic training, Leadership
Technologies
PyTorch, Kubernetes, Slurm, Lustre, NCCL
Responsibilities
Craft and harden deep learning infrastructure libraries for multi-thousand GPU clusters; Improve efficiency in data loaders, distributed training, and scheduling; Build robust training pipelines for massive video datasets; Collaborate with researchers to minimize training stalls; Own core infrastructure components like orchestration and fault-resilient systems; Partner with leadership to scale infrastructure with GPU capacity.
Seniority
Senior, hands-on IC
