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Applied Intuition is seeking a Field Integration Engineer to deploy and integrate autonomous vehicle software solutions across customer hardware, test benches, and physical vehicles. You will serve as the primary on-site technical expert, primarily based in the Chicago area, responsible for bringing up target hardware, SIL/HIL setups, and troubleshooting integration challenges spanning software, firmware, and vehicle networks.
Key Responsibilities:
- Deploy, configure, and integrate vehicle software stack, middleware, and application-level code on customer target hardware, HIL simulators, and vehicle platforms
- Serve as primary technical escalation point on-site; collect logs/telemetry, debug system crashes, and isolate root causes across software-hardware boundaries
- Debug and validate communication interfaces (CAN, LIN, Automotive Ethernet, J1939) and verify end-to-end data flow between sensors, ECUs, and application software
- Partner with internal core software/firmware engineering teams to reproduce field issues, validate fixes, and drive continuous system improvements
- Write Python scripts, Bash automation, and internal tooling to streamline deployment, automated diagnostics, and log collection in field environments
- Work directly with customer engineering leadership to define integration use-cases, articulate system constraints, and establish integration milestones
This role requires significant travel (30–50%+) to customer facilities, proving grounds, test tracks, and active field deployment sites across domestic and international locations.
Applied Intuition is a $15 billion Series A company founded in 2017, headquartered in Sunnyvale with global offices. The company powers physical AI for autonomous and intelligent vehicles, serving 18 of the top 20 global automakers and the U.S. military.
Requirements:
- BS or MS in Computer Engineering, Electrical Engineering, Mechatronics, Computer Science, or related technical field
- Strong programming skills in C++ and/or embedded C, with solid software engineering practices in Linux development and command-line environments
- 2+ years of hands-on experience integrating, testing, and debugging software applications on physical target platforms or embedded hardware
- Practical understanding of automotive or industrial network topologies, protocol analysis (CAN, Ethernet, J1939), and diagnostic standards (UDS, DoIP, OBD-II)
- Strong analytical skills to systematically isolate faults across multi-component software pipelines and hardware interfaces
- Strong written and verbal communication skills with confidence to represent engineering team in fast-paced, high-stakes customer environments
- Ability and willingness to travel 30–50%+ to domestic and international customer locations and testing sites
Nice to Have:
- Experience with vehicle platforms, autonomous systems, robotics, or active industrial/field environments
- Familiarity with AUTOSAR platform concepts (RTE, SWCs, ARXML), SIL/HIL test rigs, or ROS/ROS2 architecture
- Experience with network analysis tools (Vector CANoe/CANape, Wireshark, PEAK-System) or hardware debugging tools (oscilloscopes, multimeters)
- Python scripting capability for data processing, log parsing, or test automation
