GenAI & AI-Driven Automation Lead - ADAS

VinFast; Deutschland; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading automotive company in Germany is seeking a Gen AI & AI-Driven Automation Lead to enhance their ADAS engineering processes. The ideal candidate will utilize AI solutions to improve efficiency and ensure compliance with industry standards. Responsibilities include process automation, requirements management enhancement, and leading a cross-functional team. Strong programming skills and 3+ years of relevant experience are essential. This role offers the chance to drive innovation in automotive technology.

Qualifikationen

• 3+ years in AI/ML, software engineering or process automation in automotive/ADAS.
• Proven experience in applying AI techniques to engineering processes.
• Strong programming skills in languages such as Python, C++ or Java.

Aufgaben

• Develop and implement AI-based solutions to optimize ADAS engineering processes.
• Implement automated traceability mechanisms to maintain alignment.
• Ensure compliance with ADAS engineering standards.

Kenntnisse

AI/ML experience

Programming skills in Python

Experience with ADAS technologies

Analytical skills

Communication skills

Ausbildung

Bachelor's or Master's degree in Computer Science or Electrical Engineering

Tools

Requirements Management Tools (DOORS, Polarion, Code Beamer)

Model-Based Design Tools (Enterprise Architect, MATLAB/Simulink)

Testing & Simulation Tools (IPG CarMaker, Vector DynA4)

Jobbeschreibung

Job Description
Position Overview

We are looking for an GenAI & AI-Driven Automation Lead to drive the integration AI and automation to enhance our ADAS engineering processes. This role focuses on enhancing the quality and efficiency of work artifacts - including requirements, architecture, test cases and traceability - while ensuring compliance with industry standards such as ASPICE, FUSA (ISO 26262) and SOTIF (ISO 21448) and Vinfast standards. The ideal candidate will combine hands-on technical expertise with strategic leadership to optimize our ADAS development lifecycle.

Key Responsibilities

1. AI-Driven Process Automation
• Develop and implement AI-based solutions to automate and optimize ADAS engineering processes, enhancing efficiency and consistency.
• Improve the accuracy and quality of engineering artifacts.

2. Requirements Engineering and Management Enhancement
• Develop and implement AI-based solutions to perform requirements elicitation, analysis, development and management, ensuring clarity and completeness.
• Implement automated traceability mechanisms to maintain alignment between requirements, design and testing activities.

3. Architecture Enhancement
• Develop and implement AI-based solutions to assist in the development and validation of system architecture, ensuring scalability and reliability.
• Automate the generation of architecture models an diagrams to facilitate better understanding and communication between stakeholders.

4. Test Case Development and Management
• Develop and implement AI-based solutions to generate comprehensive test cases, improve coverage and reduce manual effort.
• Implement automation frameworks for test execution, result analysis and reporting to enhance the test&validation process.

5. Traceability and Compliance
• Ensure end-to-end traceability of engineering artifacts to meet industry standards and regulatory requirements.
• Develop automated tools to monitor compliance and generate necessary documentation for audits and assessments.

6. AI Tool & Plugin Development
• Develop custom AI-based plugins and automation scripts for tools such as:

o Requirements Management Tools (DOORS, Polarion, Code Beamer)

o Model-Based Design (MBD) Tools (Enterprise Architect, MATLAB/Simulink)

o Testing & Simulation Tools (IPG CarMaker, Vector DynA4, DSPACE, Aurelion/ASM)
• Collaborate with cross-functional teams to identify automation opportunities and implement solutions that enhance productivity.

7. Building, Leading and Mentoring the AI Automation Team
• Start as hands-on, leading AI-based automation projects in small iterations.
• Define a scalable AI roadmap for integrating AI into ADAS engineering processes.
• Work closely with Quality, System, SW and Test&Validation teams to ensure AI-enhanced workflows meet projects needs.
• Recruit, mentor and lead a cross-functional AI-driven automation team as the initiative scales up.
• Provide training and documentation for engineering teams on using AI-powered automation tools.

Requirements

Required:
• Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• Experience: 3+ years in AI/ML, software engineering or process automation in automotive/ADAS.
• Proven experience in applying AI techniques to engineering processes.
• Strong programming skills in languages such as Python, C++ or Java.
• Experience with ADAS technologies, system engineering and automotive industry standards.
• Demonstrated ability to analyte and optimize engineering processes for efficiency and quality.
• Experience with requirements management, system architecture design, test case development and traceability practices
• In-depth understanding of ASPICE.
• Familiarity with FUSA (ISO 26262) and SOTIF (ISO 21448)
• Experience in implementing processes that comply with these standards.
• Proven experience of leading technical initiatives and mentoring engineering teams.
• Strong communication skills with the ability to collaborate effectively across departments.

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