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Applied Intuition is a $15B-valued company (founded 2017) powering physical AI infrastructure for autonomous vehicles and machines across automotive, defense, trucking, construction, mining, and agriculture. The Autonomy Integration team bridges autonomy software with real vehicles, owning the full stack: compute, networking, sensors, actuation, embedded execution, and platform automation for both passenger and industrial vehicles.
In this role, you will lead end-to-end platform integration of autonomy software onto new vehicle platforms, from system architecture and interface definition through first engaged drive and handoff. Key responsibilities include:
- Design on-vehicle compute topology, network segmentation, power and data paths, and interfaces between autonomy compute, safety controllers, and vehicle ECUs
- Build and validate drive-by-wire interfaces (from OEM specs or third-party systems) and bring up sensor suites (lidar, radar, camera) including drivers, time sync, and calibration
- Own the Linux software baseline and configuration management for vehicle reproducibility; port control software to real-time embedded targets as needed
- Build bench setups, on-vehicle test procedures, and automation to catch regressions and enable fleet scaling
- Debug across the software-to-actuator boundary, set direction on standard interfaces and tools, mentor engineers, and own documentation and specs for other teams
- Participate in hands-on vehicle and test-track work (~10% travel)
Applied Intuition is primarily in-office (5 days/week from Sunnyvale HQ), with flexibility for occasional remote work and schedule adjustments. The company has offices in Washington D.C., San Diego, Ft. Walton Beach, Ann Arbor, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo.
REQUIREMENTS:
- 5+ years integrating software and hardware onto vehicles, robots, or physical systems with real actuators and sensors
- BS or MS in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Mechatronics, or related field
- Strong C or C++; working Python; experience writing and debugging code on Linux that interfaces with hardware
- Hands-on experience with automotive networks (CAN, CAN-FD, automotive Ethernet) and associated tooling
- Working knowledge of Linux systems and networking: building/maintaining machine images, configuring network interfaces, automating setup with configuration management tools
- Demonstrated ownership of at least one full platform integration from architecture through on-vehicle validation and handoff
- Comfort working on vehicles and test benches
- Track record of driving integration problems to closure across team boundaries
- Willingness to participate in on-vehicle and test-track testing
NICE TO HAVE:
- System architecture and networking: compute/network topology design, VLAN/switch configuration, PTP/gPTP time-sync, DDS or similar middleware
- Drive-by-wire and control: DBW interface building, third-party DBW integration, motion control, vehicle dynamics
- Sensors: lidar, radar, camera bring-up, SerDes pipelines, calibration, GNSS/INS and IMU integration
- Embedded and real-time: RTOS on automotive MCUs, timing analysis, safety-oriented embedded C/C++
- Platform and automation: Yocto, Ubuntu customization, Ansible at fleet scale, CI for on-vehicle software
- Domain: functional safety (ISO 26262) or safety case experience; heavy or off-highway vehicles
