Bardia Shahbaz
Senior Function & Concept Engineer · Product Owner

Senior engineer with 14 years of experience in function development and systems architecture for highly automated driving. Expert in safety-critical systems (Vehicle Motion Management / ESC) with deep expertise in ISO 26262, ASPICE, and MBSE (Matlab/Simulink). Experienced in virtual validation (vECUs), SiL/HiL methods, and agile requirements management in a large OEM environment.
Experience
03.2025 – present
Ingolstadt / Hybrid
Senior Function & Concept Engineer
CARIAD SE
- Project lead and successful series launch of safety-critical modules (hold & standstill management, FailSafeStop) within a global platform software.
- Conception and design of the logical and technical system architecture for highly automated driving functions.
- End-to-end process ownership (requirements-to-release) to safeguard functional requirements and safety standards.
- Central interface in change and stakeholder management to harmonize technical requirements.
- Holistic root-cause analysis and durable problem-solving to ensure the highest software quality and system stability.
06.2022 – 03.2025
Ingolstadt / Hybrid
Senior Function & Concept Engineer
CARIAD SE
- Strategic introduction of development-accompanying SiL testing to accelerate release cycles through early defect detection.
- Holistic validation of complex driving functions using vECUs and vehicle tests to reduce hardware dependencies.
- Technical integration of ~70 sub-modules into the overall VMM software and ensuring it ran on the platform.
- Technical alignment of requirements between module developers and the overarching architecture.
- Responsible for build management, configuration, and deployment of software releases.
01.2017 – 06.2022
Ingolstadt
Function Owner, Motion Management
AUDI AG
- Development of the logical and technical function architecture for Vehicle Motion Management (VMM) in automated driving.
- Prototype implementation of driving functions and their commissioning and validation in real vehicle testing.
- Conception and build-up of a simulation-based development environment in Matlab/Simulink for VMM.
- Development of automated evaluation and validation tools for efficient analysis of measurement data from testing.
10.2014 – 12.2016
Ingolstadt
Function Owner, Deceleration Management
AUDI AG
- Function ownership and series release of deceleration management across multiple vehicle platforms.
- End-to-end function development from design and integration through to calibration and validation in vehicle testing.
- Steering of requirements, change, and defect management in close coordination with system suppliers and specialist departments.
- Ensuring homologation readiness and release quality in strict compliance with ISO 26262 and market-specific quality standards.
08.2011 – 09.2014
Ingolstadt
Function Integration / Calibration, Deceleration Management
EFS GmbH / Wotech GmbH (for AUDI AG)
- Commissioning, calibration, validation, and series release of the deceleration-management module within the electronic stability control (ESC).
- Defect and change management to ensure stable function development.
09.2009 – 05.2011
Oberpfaffenhofen
Student Assistant
DLR – Institute of Robotics and Mechatronics
- Diploma thesis: development of a haptic feedback device for the human foot.
- Internship: concept study for a haptic feedback device on the foot.
08.2007 – 08.2009
Dresden
Student Assistant
Fraunhofer IZFP-D
- Behavioral simulation of piezo materials for non-destructive testing methods.
Education & Certifications
09.2005 – 05.2011
Dresden
Mechatronics (Dipl.-Ing.)
Technische Universität Dresden
- Focus areas: robotics, hydraulics / pneumatics.
2026
Udacity
AI / ML Nanodegrees
Udacity
- AI Programming with Python: Python, NumPy, pandas, Matplotlib, PyTorch, Anaconda / Jupyter.
- ML DevOps Engineer: MLflow, Weights & Biases, DVC, FastAPI, Hydra, GitHub Actions CI/CD, pytest, model monitoring; clean-code practices (PEP8, pylint).
2025
Coursera
Data Science
IBM
- What is Data Science?; Tools for Data Science.
2017
Coursera
Deep Learning
DeepLearning.AI
- Neural Networks and Deep Learning; Improving Deep Neural Networks (hyperparameter tuning, regularization, optimization); Structuring Machine Learning Projects.
Skills
AI & Machine Learning
Safety-Critical Systems & Architecture
Programming
Tools & Platforms
Languages
- German
- C2
- English
- C1
- Spanish
- A1
- Persian
- Native