Vision-Language Research Architect (VLA)

Australian Competition and Consumer Commission; Pennsylvania; Hybrid; USD 223,000 - 357,000; Full time

Benefits offered by this job

Annual bonus

Equity compensation

Benefits

Job summary

Aurora is seeking an Applied Researcher to advance Vision-Language-Action models, bridging theory and production. You will explore architectures, mentor engineers, and implement scalable solutions on high-performance infrastructure.

PhD-level expertise and deep experience with jagged edges in current models are essential, along with strong Python and C++ skills and a passion for innovative, scalable research in a hybrid work environment.

Qualifications

• PhD in AI, Computer Science, or Robotics with top-tier research lab background.
• Deep expertise in Vision-Language Models (VLM) and Vision-Language-Action (VLA) models.
• Hands-on with jagged edges—knowing where current architectures fail and how to troubleshoot them.
• Practical researcher: translate complex papers into production-ready code.
• Collaborative Guide: mentor team members and bridge knowledge gaps.
• Excitement for large-scale infrastructure and supercomputing environments (Aurora).
• Architectural Creativity: rethink and redo entire model architectures.
• Strong programming skills in Python; depth in modern C++ preferred.

Responsibilities

• Architectural Exploration: Deep dive into VLM/VLA architectures to determine viability for our problem sets.
• Technical Mentorship: guide an engineering team eager to move into this space.
• Practical Implementation: bridge theory to scalable applications.
• Innovation: redesign and optimize model architectures for high-performance computing environments.

Skills

Vision-Language Models

Vision-Language-Action

Python

C++

Architecture

Education

PhD in AI/CS/Robotics

Tools

Production-ready code

Job description

Aurora is seeking an Applied Researcher to advance Vision-Language-Action models, bridging theory and production. You will explore architectures, mentor engineers, and implement scalable solutions on high-performance infrastructure.

PhD-level expertise and deep experience with jagged edges in current models are essential, along with strong Python and C++ skills and a passion for innovative, scalable research in a hybrid work environment.