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. In this role, you will focus on - 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. Required Qualifications - 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++ For roles based in San Francisco, CA, Mountain View, CA, and Seattle, WA: The salary range for this position is $247,000 - $396,000 per year. For roles based in Pittsburgh, PA: The salary range for this position is $223,000 - $357,000 per year. Aurora's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits. Working at Aurora At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together - all without any jerks. We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week.