Fabian Riegsinger
System Integration & Software Engineer
Agentic Automotive Engineer
About
I'm a software development and integration engineer with more than eight years of experience in the automotive industry. At ESAS Automotive I built software for autonomous-driving stacks in C++ and Python while taking on project lead responsibilities. For Mobileye I work on site at the customer on a Level 3 ADAS program, building and keeping a large fleet of development vehicles running and coordinating critical issues between the OEM's engineers and Mobileye's R&D team, while developing agentic software that automates test vehicle maintenance workflows.
Ingolstadt, Germany
Career · Studies
Education
Sep 2016
B.Eng. Information and Communication Engineering
Technische Hochschule Mittelhessen, Friedberg
Thesis with FAS GmbH on Kalman/particle-filter indoor localization
Aug 2018
M.Sc. Information and Communication Engineering
Technische Hochschule Mittelhessen, Friedberg
Thesis with AUDI AG on trajectory-planning evaluation metrics
Career · 2018
ESAS Automotive GmbH
Software Developer & Project Coordinator
Jul 2018 – Nov 2024
- Designed a React/Electron/Capacitor environment-visualization tool, now the standard visualization on AUDI's test fleet.
- Promoted from developer to coordinator of a 4-engineer team; screened applicants and ran technical interviews.
- Built C++ sensor-fusion modules combining camera, LiDAR and radar detections.
- Wrote C++ FlexRay/CAN/Ethernet protocol transformers between third-party and in-house components.
- Built cloud data-evaluation pipelines and a Route Evaluator in Python/React.
- C++
- Sensor fusion
- React
- FlexRay
- Team lead
Career · Today
Mobileye Germany GmbH
Technical Support Resident (R&D), AUDI project
Dec 2024 – Present
- First escalation point at AUDI for software and integration issues in the ADAS/AD stack on ~30 test vehicles.
- Triage sensor and perception issues from logs, CAN/Ethernet traces and vehicle telemetry; several field issues a day.
- Build Python tooling that speeds up software rollout and fleet upgrades.
- Coordinate EyeQ software integration with AUDI's vehicle platform: bug reports, reproduction steps, fix verification.
- Maintain flashing, software versions and calibration across the fleet.
- ADAS L3
- EyeQ
- Python
- CAN
- Automotive Ethernet
Now
Building with AI agents
I spent eight years integrating and debugging software in test vehicles. Now I use AI agents for a large part of my coding.
I use Claude Code and Cursor every day, at work and on private side projects. Even this website.
- Claude Code
- Cursor
Side projects
Skills
What I work with
Languages
- C++
- Python
- JavaScript/React
- HTML/CSS
Automotive
- ADAS/AD integration
- FlexRay/CAN/Automotive Ethernet
- Sensor fusion
- Vector CANoe
Tooling
- Git
- Linux
- CMake/Conan
- Jenkins
Leadership
- OEM stakeholder interface
- Team coordination
- Hiring/interviewing
- Jira/Confluence
AI
- Claude Code
- Cursor
- Agentic workflows
Next · Launch sequence
What comes next
Eight years of software in test vehicles taught me how systems fail in the real world. Next, I want to work where AI is built at scale.
- T-3
Agents in production
Taking agents from demos to systems people rely on: tool use, evaluations, guardrails, and cost at scale.
- T-2
Physical AI
Foundation models that perceive and act in cars and robots, where a wrong answer has physical consequences. That is where my years in test vehicles help most.
- T-1
A frontier AI team
Joining a big-tech AI team that builds models and the products that run on them.
Building something in this space? Let's talk.
T-0 · Start the countdown