Staff VLA Engineer

What you'll do

• Research and prototype VLA architectures and scalable multimodal foundation models for autonomous driving.
• Build and experiment with world-model approaches for prediction, forecasting, counterfactual simulation, and long-horizon planning.
• Research goal-driven driving agents integrating reasoning, planning, memory, and action.

What they ask for

• MS or PhD in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field (or equivalent practical experience).
• Hands-on experience with deep learning frameworks such as PyTorch or JAX.
• Understanding of foundation models, multimodal learning, or transformer-based architectures, and experience training or fine-tuning large-scale models.
• Strong software engineering skills, experience with large-scale data pipelines, and ability to implement and extend AI research.

Nice to have

• Research experience in autonomous driving, robotics, or embodied AI; experience with world models, model-based reinforcement learning, or predictive/generative simulation.
• Familiarity with VLA or agentic AI architectures, large-scale distributed training, autonomous-driving simulation environments, or research-to-production work; publications at top-tier venues.

Pay

USD $250,000 - $325,000 base salary

Tools

PyTorch, JAX, CARLA, nuPlan, Waymo Open Dataset

AI focus

Research and development of VLA architectures, multimodal foundation and world models, predictive driving intelligence, long-horizon reasoning and planning, and agentic autonomous-driving systems.