Job Description
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 a strong depth programming in modern C++
- #LI
- #Mid-Senior
- 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.
- Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom .
Ready to Apply?
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