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.
- Concept 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.
- Primary point of contact for change and stakeholder management to align technical requirements.
- Systematic root-cause analysis and lasting problem resolution to safeguard software quality and system stability.
06.2022 – 03.2025
Ingolstadt / Hybrid
Senior Function & Concept Engineer
CARIAD SE
- Strategic introduction of continuous, development-integrated SiL testing to accelerate release cycles through early defect detection.
- End-to-end 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, ensuring runtime 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.
- Design and build-out 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.
- Directed requirements, change, and defect processes 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.
Applied AI
2023 – present
Remote / Germany
Independent AI Architect & Engineer
Independent
- Production PWA (React Native, Expo, Supabase) running scheduling, inventory, and six-supplier ordering for a small regional business — weekly staff scheduling cut from ~2 h to ~10 min; in daily use since 2025.
- Two-stage document-intelligence pipeline (Python, Mistral OCR, Landing AI, Pydantic): LLM triage of incoming paper, then extraction of ~15 financial documents a day into a typed, reconciled database — a twice-yearly look at the books became article-level insight within days, at ~€0.14 per extraction.
- n8n/LLM content pipeline that drafts a brand's daily social post behind a separate critic model and a human approval queue, then auto-publishes to Instagram, Facebook, and Google Business Profile — the generator never holds publishing credentials.
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; ML DevOps Engineer.
2017
Coursera
Deep Learning Specialization
DeepLearning.AI
Skills
AI & Machine Learning
Safety-Critical Systems & Architecture
Programming
Tools & Platforms
Languages
- German
- C2
- English
- C1
- Spanish
- A1
- Persian
- Native