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Bardia Shahbaz

Senior Function & Concept Engineer · Product Owner

Berlin · Hamburg · Münchenbardiashahbaz.comLinkedIn
Bardia Shahbaz

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

Deep LearningNeural NetworksMLOps / ML DevOpsLLM application engineering (RAG, agents)Prompt engineering & evalsPyTorchMLflowWeights & BiasesDVCFastAPINumPy / pandas

Safety-Critical Systems & Architecture

ISO 26262 (functional safety)ASPICEMBSE (Matlab/Simulink)System & function architectureVehicle Motion ManagementVirtual validation (vECU, SiL/HiL)Requirements engineering

Programming

PythonC / C++C#TypeScriptSQLHTML / CSS

Tools & Platforms

Matlab/SimulinkCarMakerIBM DOORSCANoe / CANapeSilver (Synopsys)dSpace TargetLinkCodeBeamerSupabaseDockern8nGitHub Actions / CI-CDJira

Languages

German
C2
English
C1
Spanish
A1
Persian
Native