Software Engineer - Sensor Simulation Product
@ Applied Intuition

Mountain View, California, United States
$180,000
On Site
Full Time
Posted 23 days ago

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XXXXXXXXX XXXXXXXXXXXXX XXXXXXXXX****** @appliedintuition.com
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Job Details

About Applied Intuition

Applied Intuition is a vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, they provide the toolchain, Vehicle OS, and autonomy stacks used by 18 of the top 20 global automakers, defense programs, and various industries including automotive, trucking, and construction.

Headquartered in Mountain View, CA with multiple global offices, Applied Intuition is mostly an in-office company with flexible scheduling options.

About the Role

The Software Engineer - Sensor Simulation Product role involves analyzing user needs and software requirements, designing scalable applications, and developing GPU-based simulation software to support autonomous vehicle development.

  • Develop and modify software specifications and performance standards.
  • Design, implement, and test scalable autonomy tools.
  • Build simulation software using graphics engines and cloud infrastructure.
  • Collaborate with infrastructure, robotics, graphics, and game development experts.
  • Prepare project reports and optimize simulation workflows.

Key Skills/Competency

  • Software Development
  • C++
  • Python
  • GPU Programming
  • Simulation Software
  • Cloud Infrastructure
  • Autonomous Systems
  • Toolchain Development
  • System Testing
  • Cross-Functional Collaboration
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How to Get Hired at Applied Intuition

🎯 Tips for Getting Hired

  • Research Applied Intuition: Understand company culture and technological focus areas.
  • Customize your resume: Highlight C++ and Python projects.
  • Emphasize simulation experience: Detail autonomous and GPU programming work.
  • Prepare for technical interviews: Review cloud, infrastructure, and simulation design.

📝 Interview Preparation Advice

Technical Preparation

Review C++ and Python fundamentals.
Practice GPU programming challenges.
Study cloud infrastructure and simulation design.
Examine autonomy systems and toolchain architectures.

Behavioral Questions

Describe teamwork during complex projects.
Explain problem-solving in high-pressure scenarios.
Discuss handling cross-functional collaboration challenges.
Share experiences balancing quality and deadlines.

Frequently Asked Questions