Technical Lead, Multimodal Transformers
Core
Architecting and deploying GigaFusionNet, a large-scale multimodal transformer that fuses camera, LiDAR, and radar data for autonomous vehicle perception.
Role type
Senior IC technical lead (multimodal AI)
Builds
Production multimodal fusion models for autonomous trucks
Domain
Autonomous driving / Computer Vision / Deep Learning
Deliverable
production ML models
Required skills
Transformer architectures, cross-modal attention, token fusion, distributed training, Python, PyTorch, system-level latency optimization, technical mentorship
Preferred skills
Self-supervised learning, contrastive learning, efficient multi-stream tokenization
Responsibilities
Own architecture roadmap for multimodal transformers, lead end-to-end project execution from research to production, drive research direction on fusion strategies, set technical bar via design/code reviews, mentor junior engineers, define pretraining strategies, partner with perception/planning leads on system alignment
