Software Integration Engineer, Self-Driving

Job summary

Responsibilities

The Autonomy Integration team bridges Applied Intuition’s autonomy software with real vehicles, owning compute, networking, sensors, actuation, embedded execution, and platform automation across passenger and industrial vehicles.

• Platform integration, end to end - Lead the integration of autonomy software onto new vehicle platforms, from system architecture and interface definition through first engaged…
• System architecture - Design the on-vehicle compute topology, network segmentation, power and data paths, and the interfaces between autonomy compute, safety controllers, and…
• 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…
• 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…
• 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…

What they're looking for

• 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

Tech stack

• C++
• Python