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 decision-making in autonomous driving vehicles.
Role type
Staff Research Scientist (Autonomous Driving AI)
Builds
Onboard foundational AI models deployed on resource-constrained vehicle edge hardware
Domain
Autonomous driving, multimodal AI, robotics
Deliverable
production ML models
Required skills
Ph.D. in ML/Robotics/CS/EE, 5+ years AI/ML research experience, transformer architectures, generative AI, multimodal systems, Python programming, model quantization, pruning, knowledge distillation, compilation
Preferred skills
Published research in top AI conferences, AV/ADAS system 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 and deployment; Advance multimodal alignment of camera, radar, LiDAR, and text inputs; Influence technical roadmaps and ML priorities; Provide technical mentorship to engineers and specialists; Collaborate with perception, planning, and infrastructure teams; Publish research and present at global AI conferences
Seniority
Staff, hands-on IC with strategic influence and mentorship
