Applied Researcher

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++ #J-18808-Ljbffr NextGenEnergyJobs