Applied Researcher

Aurora Innovation
Mountain View; Pittsburgh; San Francisco; Seattle, US
Hybrid

Who this role is best for

Aimed at mid-level PhD researchers with deep expertise in Vision-Language-Action models who thrive in hybrid work environments and collaborative technical mentorship roles.

Best fit for

  • PhD graduates from top-tier labs with hands-on VLA model troubleshooting experience.
    — “PhD Graduate in AI, Computer Science, or Robotics (Top-tier research lab background)
  • Researchers who can translate academic papers into production-ready implementations.
    — “Ability to translate complex papers into production-ready code
  • Technical mentors comfortable guiding engineering teams through architectural transitions.
    — “Act as the subject matter expert and guide for an exceptionally capable engineering team

Things to consider

  • Hybrid work policy requires minimum 3 days per week in-office.
    — “we operate in a hybrid work environment where Aurorans are in office at least 3 days per week
  • Role involves rebuilding model architectures from the ground up.
    — “helping us rediscover and rebuild our architecture from the ground up

How to stand out

  • Document specific instances where you identified and fixed VLA model failure points.
    — “knowing where current architectures fail and how to troubleshoot them
  • Showcase projects that bridge academic theory with scalable implementations.
    — “Bridge the gap between high-level academic theory and practical, scalable applications
  • Highlight experience mentoring technical teams through architectural transitions.
    — “Willingness to mentor existing team members and bridge the knowledge gap
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · CompanyLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • architectural exploration of VLA models
  • practical implementation of AI models
  • innovation in model architectures
Typical background
AI researchself-driving technology

Skills & requirements

Required

AI ResearchVLA ModelsHigh-performance ComputingModel OptimizationTechnical Mentorship

Preferred

C++ ProgrammingSelf-driving Technology

Stack & domain

PythonC++Self-driving TechnologyAIComputer Vision

About the role

Original posting from Aurora Innovation

Who we are

Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.

The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.

 

At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn.

 

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a a PhD to serve as our technical pathfinder in the realm of Vision-Language-Action (VLA) models. You won't just be applying existing tech; you will be identifying the 'jagged edges'—the points of failure in current state-of-the-art models—and helping us rediscover and rebuild our architecture from the ground up.

In this role, you will focus on

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.

Required Qualifications

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.

Our commitment to safety

At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what.

Our commitment to inclusion

Aurora considers candidates without regard to their 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. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech. 

For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.

Source: Aurora Innovation careers

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