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Software Integration Engineer, Self-Driving

Applied Intuition· Vehicle OS
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Sunnyvale$180k - $220kFull-timePosted 1mo ago

About the role

Role focused on integrating autonomy software onto vehicle platforms, spanning system architecture, on-vehicle compute, networking, sensors, actuation, and platform automation, with hands-on vehicle and test-track work and travel.

Responsibilities

  • Platform integration, end to end - Lead the integration of autonomy software onto new vehicle platforms, from system architecture and interface definition through first engaged drive and handoff
  • System architecture - Design the on-vehicle compute topology, network segmentation, power and data paths, and the interfaces between autonomy compute, safety controllers, and vehicle ECUs
  • Actuation and sensing - Build and validate the drive-by-wire interface, whether from an OEM network specification or by integrating a third-party system, and bring up the sensor suite (lidar, radar, camera) including drivers, time sync, and calibration
  • Compute and real-time execution - Own the Linux software baseline and configuration management that make a vehicle reproducible, and port control software to real-time embedded targets where the platform requires it
  • Validation and scale - Build bench setups, on-vehicle test procedures, and automation that catch regressions early and let the team grow the fleet without growing the headcount to match
  • Technical leadership - Debug across the full software-to-actuator boundary, set direction on which interfaces and tools become standard, mentor engineers, and own the documentation and specs that other teams integrate against

Qualifications

  • 5+ years of experience integrating software and hardware onto vehicles, robots, or other physical systems with real actuators and sensors
  • BS or MS in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Mechatronics, or a related field
  • Strong C or C++, plus working Python, with experience writing and debugging code that runs on Linux and talks to hardware
  • Hands-on experience with automotive networks (CAN, CAN-FD, automotive Ethernet) and the tooling around them
  • Working knowledge of Linux systems and networking: building or maintaining machine images, configuring network interfaces, and automating setup with configuration management tools
  • Demonstrated ownership of at least one full platform integration from architecture and interface definition through on-vehicle validation and handoff
  • Comfort working on vehicles and test benches
  • Track record of driving integration problems to closure across team boundaries
  • A willingness to participate in on-vehicle and test-track testing

Skills

Required:C/C++PythonLinuxAutomotive networks

Benefits

  • [Company-provided details not explicitly listed in excerpt]
Last updated Oct 11, 2026. Interested? Apply on the company site.

About Applied Intuition

Building vehicle intelligence | Applied Intuition

Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.

AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
Company profileWebsite

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