Staff Research Scientist - VLM / VLA
Core
Research, design, and optimize Vision-Language Models (VLMs) and Vision-Language-Action (VLA) foundational models for real-time semantic understanding and behavioral prediction in autonomous driving, deploying them onto resource-constrained onboard vehicle hardware.
Role type
Staff Research Scientist (Autonomous Driving AI)
Builds
Onboard foundational AI models for autonomous vehicles
Domain
Autonomous driving, multimodal AI, edge computing
Deliverable
production ML models
Required skills
Ph.D. in ML/Robotics/CS/EE, 5+ years AI/ML research, transformer architectures, generative AI, multimodal systems, Python, model quantization, pruning, knowledge distillation, compilation
Preferred skills
Top-tier AI/ML publications, AV/ADAS experience
Technologies
Transformers, Generative AI, Python, Model Quantization, Knowledge Distillation
Responsibilities
Research and prototype VLM/VLA models for autonomous driving; Lead technical strategy for onboard model optimization (quantization, pruning, distillation); Advance multimodal alignment for camera/radar/LiDAR/text integration; Influence technical roadmaps and ML priorities; Provide technical mentorship to engineers and developers; Collaborate with perception/planning teams to integrate models into the software stack; Publish research and present at top AI conferences
Seniority
Staff, hands-on IC with strategic influence and mentorship
