Applied Intuition
Software Integration Engineer, Self-Driving
About this role
Applied Intuition seeks a Software Integration Engineer to lead end-to-end autonomy software integration onto vehicle platforms, owning compute architecture, networking, sensors, actuation, and embedded execution. You'll bridge autonomy software with physical vehicles, handling 0-to-1 platform bring-up and 1-to-many scalable deployment with hands-on vehicle and test-track involvement.
What you'll do
- Lead full-cycle platform integration from system architecture through first engaged drive and handoff
- Design on-vehicle compute topology, network segmentation, power/data paths, and interfaces between autonomy compute, safety controllers, and vehicle ECUs
- Build and validate drive-by-wire interfaces and sensor suites (lidar, radar, camera) including drivers, time sync, and calibration
- Own Linux software baseline, configuration management, and port control software to real-time embedded targets
- Create bench setups, on-vehicle test procedures, and automation to catch regressions and scale fleet operations
- Debug across software-to-actuator boundary, set interface standards, mentor engineers, and maintain integration documentation
What they're looking for
- C/C++ and Python programming with Linux hardware integration
- Automotive networking (CAN, CAN-FD, automotive Ethernet) and diagnostics
- Linux systems, networking, configuration management, and machine image building
- Platform integration and full-cycle hardware-software validation
- Vehicle networks, sensor integration, and real-time embedded systems
- Drive-by-wire systems and control interfaces
- Cross-team collaboration and technical problem-solving
- VLAN/switching, PTP/gPTP time-sync, and middleware (DDS)
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
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
Likely interview questions
- Walk us through a platform integration you owned from architecture definition to on-vehicle validation—what were the biggest challenges and how did you resolve them?
- Describe your experience with automotive networks (CAN/CAN-FD/Ethernet). How have you debugged timing or synchronization issues?