Kodiak Robotics
Technical Lead, Multimodal Transformers
$230K–$300K
Mountain View, CA +1 · Full-time · Posted Aug 11, 2026
- Location
- Mountain View, CA
Mountain View, California, United States - Experience
- 5+ years of industry experience with a PhD, or 8+ years with an MS/BS.
- Education
- PhD, or MS/BS, in AI, Computer Science, or a related field.
- Visa sponsorship
- Visa sponsorship may be provided for eligible candidates.
About the job
Leads the architecture, research, and production deployment of multimodal transformers that fuse camera, LiDAR, and radar for autonomous driving.
What you'll do
- Own the architecture roadmap and lead projects from problem framing through production deployment.
- Direct research on cross-modal attention, token fusion, tokenization, and self-supervised or contrastive pretraining.
- Set technical standards, mentor engineers, and align model design with perception, planning, and infrastructure teams.
What they ask for
- PhD with 5+ years of industry experience, or MS/BS with 8+ years, in AI, Computer Science, or a related field.
- Track record leading multi-engineer technical efforts from research through production.
- Deep expertise in transformer architectures and cross-attention, token fusion, and modality alignment.
- Expert proficiency in Python and PyTorch, including large-scale distributed training and mixed-precision optimization.
Pay
$230,000 — $300,000 USD (base salary)
Tools
Python, PyTorch, camera, LiDAR, radar
AI focus
Develops a large-scale multimodal transformer that learns joint representations across camera, LiDAR, and radar, including self-supervised and contrastive pretraining for autonomous driving.
Model-written summary · the original posting is authoritative