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About the Role

Aurora's mission is to deliver the benefits of self-driving technology safely, quickly, and broadly, creating a new era in mobility and logistics. This role seeks a technical pathfinder in Vision-Language-Action (VLA) models to identify failures in current state-of-the-art models and rebuild architecture from the ground up.

Responsibilities

• Deep dive into VLM/VLA architectures to determine viability for specific problem sets.
• Act as a subject matter expert and guide for the engineering team.
• Bridge the gap between academic theory and practical, scalable applications.
• Redesign and optimize model architectures for high-performance computing environments.

Requirements

• PhD Graduate 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 experience identifying and troubleshooting failures in current architectures.
• Ability to translate complex research papers into production-ready code.
• Willingness to mentor team members and bridge knowledge gaps.
• Excitement for large-scale infrastructure and supercomputing environments.
• Ability to rethink and redesign entire model architectures.
• Strong programming skills in Python.
• Strong depth programming in modern C++ (preferred).

Skills

• Vision-Language Models (VLM)
• Vision-Language-Action (VLA) models
• Architecture troubleshooting
• Production-ready code development
• Model architecture redesign
• Python
• C++

Work Type

• Hybrid

Experience Level

• Mid-Senior

Education Level

• PhD in AI, Computer Science, or Robotics

About the Company

• Aurora's mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.
• The Aurora Driver aims to create a safer, more efficient, and more accessible future in mobility and logistics.
• Aurora fosters a culture of integrity, ambitious goals, and collaborative success.
• The company is committed to safety, with every employee contributing to building best-in-class self-driving technology.

Equal Opportunity

• Aurora considers candidates without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law.
• Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law.
• The company is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in job application procedures.
• For assistance or accommodation due to a disability, contact careersiteaccommodations@aurora.tech.