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Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a a PhD to serve as our technical pathfinder in the realm of Vision-Language-Action (VLA) models. You won't just be applying existing tech; you will be identifying the 'jagged edges'—the points of failure in current state-of-the-art models—and helping us rediscover and rebuild our architecture from the ground up.
Job Responsibility
Architectural Exploration: Deep dive into VLM/VLA architectures to determine their viability for our specific problem sets
Technical Mentorship: Act as the subject matter expert and guide for an exceptionally capable engineering team eager to move into this space
Practical Implementation: Bridge the gap between high-level academic theory and practical, scalable applications
Innovation: Redesign and optimize model architectures to leverage high-performance computing environments like Aurora
Requirements
PhD Graduate in AI, Computer Science, or Robotics (Top-tier research lab background)
Deep expertise in Vision-Language Models (VLM) and Vision-Language-Action (VLA) models
Hands-on experience with 'jagged edges'—knowing where current architectures fail and how to troubleshoot them
Practical researcher: Ability to translate complex papers into production-ready code
Collaborative Guide: Willingness to mentor existing team members and bridge the knowledge gap
Excitement for large-scale infrastructure and supercomputing environments (e.g., Aurora)
Architectural Creativity: Ability to rethink and redo entire model architectures rather than just fine-tuning
Strong programming skills in Python
Preference for a strong depth programming in modern C++