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Applied Intuition

Software Engineer

Sunnyvale$187.7k–$243.9kfulltimemidAdded today

About this role

Applied Intuition seeks an embedded software engineer to develop reliable in-vehicle software solutions for autonomous and intelligent systems. You'll architect embedded applications, integrate hardware components, and work with Linux/Android platforms to support automotive, defense, and industrial clients.

What you'll do

  • Design and develop reliable embedded software for vehicles and autonomous systems
  • Integrate vendor hardware components with low-level communication protocols (CAN, LIN, I2C, SPI, UART)
  • Build real-time operating system applications and custom infotainment solutions
  • Develop Linux/Android-based software, OTA updates, and system services
  • Collaborate across teams to bring up, productionize, and maintain software on new devices
  • Implement modern CI/CD pipelines and build systems for embedded platforms

What they're looking for

  • C/C++ and assembly language for embedded systems
  • Embedded Linux system software design and middleware integration
  • Hardware communication protocols (UART, SPI, I2C, GPIO, TCP/UDP)
  • Sensor integration and driver development (Radar, IMU, accelerometers)
  • Software debugging on embedded compute platforms
  • Build tools and CI/CD (CMake, Git, Jenkins)
  • Custom SoC development
  • RTOS application development
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Applied Intuition

Applied Intuition builds autonomous vehicle and defense systems software, including motion planning algorithms, simulation infrastructure, and autonomy integration platforms for aerial and ground platforms. The company is hiring for security engineers, robotics/autonomy software engineers, hardware-in-the-loop specialists, and IT operations professionals to support its growing physical AI operations.

Website
appliedintuition.com
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Likely interview questions

  • Describe your experience integrating vendor components and implementing low-level communication protocols in embedded systems.
  • Walk us through a project where you developed drivers for sensors like radar or IMU—what challenges did you face?
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