Opportunity to contribute to groundbreaking research in autonomous systems.
Hands-on experience with state-of-the-art technologies and frameworks.
Potential to impact the future of autonomous driving.
Full Job Description
As a Staff VLA Engineer you'll contribute to next-generation autonomous driving intelligence research, working alongside the team to push past current VLA capabilities. You'll bring hands-on expertise in foundation models, multimodal learning, world models, or autonomous systems, and help turn research ideas into real technical progress.
Responsibilities
Contribute to Next-Generation VLA Architectures
Research and prototype next-generation Vision-Language-Action architectures.
Explore scalable multimodal foundation models for autonomous driving.
Help develop architectures with improved generalization, reasoning, and long-horizon decision making.
Support work on large driving models that unify perception, planning, and action generation.
Support World Model & Driving Reasoning Research
Build and experiment with world-model-based approaches for predictive driving intelligence.
Work on future-state prediction, behavior forecasting, and counterfactual simulation.
Contribute to long-horizon planning and reasoning research for autonomous driving.
Help build models that understand complex traffic interactions and latent agent intentions.
Explore Agentic Driving Systems
Research goal-driven autonomous driving agents.
Help develop architectures that integrate reasoning, planning, memory, and action.
Investigate driving agents capable of adaptive decision making in open-world environments.
Contribute ideas toward future driving-agent architectures as successors to current VLA systems.
Qualifications
MS or PhD in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field (or equivalent practical experience).
Strong hands-on experience with deep learning frameworks (e.g., PyTorch, JAX).
Solid understanding of foundation models, multimodal learning, or transformer-based architectures.
Experience training or fine-tuning large-scale models (vision, language, or multimodal).
Strong software engineering skills and experience working with large-scale data pipelines.
Ability to read, implement, and extend ideas from recent AI research papers.
Excellent collaboration and communication skills, comfortable working across distributed, cross-functional, and cross-cultural teams (Silicon Valley + HQ Korea).
Preferred Qualifications
Research experience in autonomous driving, robotics, or embodied AI (e.g., perception, planning, control, or end-to-end driving models).
Experience with world models, model-based reinforcement learning, or predictive/generative simulation.
Familiarity with Vision-Language-Action (VLA) models or agentic AI architectures (reasoning, planning, memory, tool use).
The screening procedures may vary depending on the position, schedule, or other circumstances. You will be individually notified of the screening schedule and results via the email address provided in your application.
Compensation
$189,000 to $311,220
Additional Information
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All documents must be submitted in PDF format and under 30MB in size.
If you experience issues uploading your resume, please send it along with the job posting URL to [redacted].
We strongly encourage applications from U.S. veterans and candidates eligible for employment preference under applicable laws.
