Autonomy Integration Engineer – Self-Driving Vehicles

Decisive Point

Sunnyvale (CA)

On-site

USD 180,000 - 240,000

Full time

6 days ago

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Job summary

Applied Intuition, Inc. is seeking a senior Autonomy Integration engineer to lead end-to-end integration of autonomy software onto new vehicle platforms, from system design through first engaged drive and handoff.

You will architect on-vehicle compute, manage interfaces between autonomy compute and vehicle ECUs, and bring up sensor suites with collaborators across teams. You will own Linux baseline and real-time porting where needed, validate through bench and on-vehicle tests, and drive

Qualifications

5+ years of experience integrating software and hardware onto vehicles or similar 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.

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.