Research Engineer - Robotics
@ Applied Intuition

Mountain View, California, United States
On Site
Posted 12 days ago

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Job Details

About Applied Intuition

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, the company provides toolchains, Vehicle OS, and autonomy stacks for intelligent vehicle development. Trusted by 18 of the top 20 global automakers and major defense programs, they serve automotive, defense, trucking, construction, mining, and agriculture sectors.

Headquartered in Mountain View, CA, with offices globally, Applied Intuition values both in-office work and flexible scheduling.

About the Role

The Research Engineer - Robotics will join the Research Team to conduct world-class research on autonomous systems, particularly for autonomous driving and robotics. You will leverage millions of miles of large-scale data and industry-leading simulators to develop cutting-edge models at scale.

  • Research robotic foundation and vision-language-action models.
  • Collaborate with Research Scientists and interns for top-tier publications.
  • Set up hardware/software for various robots including hands, arms, and humanoids.
  • Engage in topics like reinforcement learning and dexterous manipulation.
  • Contribute to immediate improvements used by major industry programs.

Key Skills/Competency

Research Engineer - Robotics: robotics, autonomous, research, reinforcement learning, computer vision, hardware, software, teleoperation, dexterous manipulation, simulation

How to Get Hired at Applied Intuition

🎯 Tips for Getting Hired

  • Research Applied Intuition's culture: Study their mission, values, and recent news.
  • Tailor your resume: Emphasize robotics and research skills.
  • Highlight technical projects: Detail experiences with hardware and software setups.
  • Prepare for technical interviews: Review autonomous systems and machine learning topics.

📝 Interview Preparation Advice

Technical Preparation

Review robotics hardware interface basics.
Study reinforcement learning and simulation techniques.
Practice setting up robot software configurations.
Refresh research publication methodologies.

Behavioral Questions

Describe teamwork in challenging projects.
Explain problem-solving under pressure.
Discuss handling project deadlines.
Share past collaborative experiences.

Frequently Asked Questions