Kodiak Robotics is seeking engineers to develop GigaFusionNet, a large-scale multimodal transformer that fuses diverse sensor streams for autonomous ground transportation
Job Summary
Kodiak Robotics is seeking engineers to develop GigaFusionNet, a large-scale multimodal transformer that fuses diverse sensor streams for autonomous ground transportation.
The role involves designing transformer architectures that combine camera, LiDAR, and radar data into unified representations while optimizing for real-time inference constraints.
Candidates will benefit from a competitive compensation package including equity, bonuses, comprehensive health plans with infertility benefits, and flexible PTO policies.
Matching Summary
Kodiak Robotics is seeking engineers to develop GigaFusionNet, a large-scale multimodal transformer that fuses diverse sensor streams for autonomous ground transportation.
Salary
Base: $200,000 - $260,000 USD; Bonus/Equity: Competitive equity and annual bonuses included; Benefits: Medical, Dental, Vision, 401(k), and wellness perks
Skills & Requirements
Must-have
Multimodal transformer architecture design
Cross-modal attention mechanisms
Python and PyTorch proficiency
Scalable distributed training pipelines
Real-time model optimization
Nice-to-have
Self-supervised pretraining experience
Contrastive learning objectives
Passion for real-world AI safety
Token fusion strategies expertise
Key Requirements
BS, MS, or PhD in AI or Computer Science
4+ years of experience with transformer architectures
Proficiency in deep learning frameworks like PyTorch