Autonomy Platform Integration Engineer — On-Vehicle

Applied Intuition; Sunnyvale (CA); On-site; USD 170,000 - 230,000; Full time

Job summary

Applied Intuition in Sunnyvale, CA, is seeking an experienced Autonomy Integration engineer to lead end-to-end integration of autonomy software onto new vehicle platforms, from architecture through first engaged drive and handoff.

You will design on-vehicle compute topology, network segmentation, and sensor interfaces, while ensuring a robust Linux baseline and real-time execution. Hands-on testing on vehicles and test tracks with ~10% travel is expected, plus mentoring of engineers.

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

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

Skills

C/C++

Python

Linux

Automotive networks

Vehicle platforms

Test-track work

Mentorship

Education

BS in Computer Science / Computer Engineering / Electrical Engineering / Robotics

MS in related field

Tools

CAN/CAN-FD

Automotive Ethernet

RTOS

Yocto / Linux image customization

Job description

Applied Intuition in Sunnyvale, CA, is seeking an experienced Autonomy Integration engineer to lead end-to-end integration of autonomy software onto new vehicle platforms, from architecture through first engaged drive and handoff.

You will design on-vehicle compute topology, network segmentation, and sensor interfaces, while ensuring a robust Linux baseline and real-time execution. Hands-on testing on vehicles and test tracks with ~10% travel is expected, plus mentoring of engineers.