Technical Lead, Multimodal Transformers
Core
Architect and lead the development of GigaFusionNet, a large-scale multimodal transformer fusing camera, LiDAR, and radar data for autonomous trucking.
Role type
Senior IC Technical Lead (Multimodal AI)
Builds
Production multimodal fusion models for autonomous ground transportation
Domain
Autonomous driving / Computer Vision / Deep Learning
Deliverable
production ML models
Required skills
Transformer architecture design, multimodal fusion, cross-attention mechanisms, token fusion strategies, distributed training, Python, PyTorch, technical leadership, mentoring
Preferred skills
Self-supervised learning, contrastive learning, efficient multi-stream tokenization, system-level latency optimization
Technologies
PyTorch, Python, GigaFusionNet
Responsibilities
Own the architecture roadmap for multimodal transformers, lead end-to-end project execution from research to production, drive research direction on cross-modal attention, set technical bar through design and code reviews, mentor junior and mid-level engineers, define pretraining strategies, partner with perception and planning leads
Seniority
Senior, hands-on IC with significant scope
