At the core of everything we do is our commitment to safety.
Key Responsibilities
- 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 strong depth programming in modern C++