Software Integration Engineer, Self-Driving
Applied Intuition•Sunnyvale, CA
•Onsite
About The Position
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. The team works across 0-to-1 bring-up and 1-to-many scalable deployment, with hands-on vehicle and test-track work and ~10% travel.
Requirements
- 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
Nice To Haves
- System architecture and networking: compute and network topology design for vehicles, VLAN and switch configuration, PTP/gPTP and time-sync debugging, DDS or similar middleware
- Drive-by-wire and control: building DBW interfaces from OEM network specs, integrating third-party DBW systems, motion control, vehicle dynamics
- Sensors: lidar, radar, and camera bring-up, SerDes camera pipelines, calibration, GNSS/INS and IMU integration
- Embedded and real-time: RTOS on automotive-grade MCUs, timing analysis, safety-oriented embedded C or C++
- Platform and automation: Yocto, Ubuntu image customization, Ansible or equivalent at fleet scale, CI for on-vehicle software
- Domain: functional safety practice (ISO 26262 or similar) or working within a safety case; heavy or off-highway vehicles
Responsibilities
- Lead the integration of autonomy software onto new vehicle platforms, from system architecture and interface definition through first engaged drive and handoff
- Design the on-vehicle compute topology, network segmentation, power and data paths, and the interfaces between autonomy compute, safety controllers, and vehicle ECUs
- 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
- 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
- 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
- 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
Benefits
- The company offers competitive salaries and benefits.
- Applied Intuition is an equal opportunity employer and federal contractor or subcontractor.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Job Type
Full-time
Career Level
Senior
