MO
Configuration & Integration Manager (all genders)
MOIAWolfsburg, GermanyPosted 7 May 2026
Job Description
Join us as a Configuration and Integration Manager (all genders)
in our System Mobility
team
and help shape the future of autonomous mobility!
The Configuration and Integration Manager is responsible for defining, managing, and consolidating the software integration landscape as well as system and software configurations within the overall L4 project. The role ensures that all involved ECUs, high-performance computing platforms, software releases, sensors, AI/perception components, variants, interfaces, and integration states remain consistent, traceable, and release-ready throughout the development lifecycle.
What you will do
Define and maintain the L4 software integration landscape across all relevant ECUs and HPC platforms
Create and manage project configurations, variants, and software release baselines
Coordinate with development, AI/perception teams, architecture, integration, testing, and suppliers
Ensure consistency between requirements, software versions, sensor setups, and vehicle configurations
Manage change control processes and configuration approvals
Support integration, simulation, and validation activities
Analyze and track configuration deviations and integration conflicts
Prepare project status reports and maturity assessments
Support SOP and release management activities
Collaborate within international and cross-functional project teams
What will help you to fulfill your role
Professional Experience
Extensive professional experience in the automotive or autonomous driving industry
Several years of experience in highly automated or autonomous driving projects
Proven experience managing complex software and system integration environments
Experience working in OEM or Tier-1 supplier projects
Strong background in automotive series development processes and safety-critical systems
Strategy Continuous Improvement
Shape the technical project management framework for next-generation vehicles.
Introduce scalable processes, methods, and tools.
Drive lessons learned and organizational maturity.
Required Technical Skills
Configuration Management in Automotive / Autonomous Driving Proven experience in software, system, and variant configuration management within complex E/E architectures
Robotaxi / Autonomous Driving (L4) Expertise Strong understanding of sensor systems (LiDAR, radar, camera), perception, localization, and planning systems
Tools Processes Hands-on experience with tools such as Polarion, DOORS, Jira, Git/GitLab, CI/CD pipelines, Vector tools, or comparable environments
Release Change Management Experience with release processes, baseline management, and change control procedures
E/E Architecture Interface Understanding Knowledge of vehicle networks, middleware, HPC architectures, and software/sensor dependencies
We welcome applicants from diverse backgrounds
— even if you don’t meet every requirement. If you’re excited about the role and MOIA’s mission, we’d love to hear from you!
Our benefits in a nutshell
Competitive salary (including bonus)
Hybrid work setup: Work from home or one of our offices - you and your team decide how often to meet, blending flexibility with collaboration!
Flexible working hours and the possibility of flexible work arrangements depending on your needs (parenting, care work, volunteering, etc.)
Budget and monthly expense allowance for home office setup
Possibility of remote work from outside Germany for up to 6 weeks per year from over 35 countries - learn more in our blog !
Public transport ticket (fully subsidized "Deutschlandticket") for commuting and travelling throughout Germany and discount on MOIA rides
Subsidized fitness club membership or bike leasing
Learning environment with continuous learning days, job rotation, trainings and workshops, coaching, conferences, books, and language classes
Mental health support, 1:1 sessions with external professionals and mental unload workshops
30 vacation days, sabbatical and unpaid l ... (truncated, view full listing at source)
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