P3

Consultant (m,w,d) AD-Validation PM - SAE L4 Automated Driving & E2E AI Systems

P3  •  Wolfsburg, DE / Stuttgart, DE / Munich, DE / Hamburg, DE / Düsseldorf, DE (Remote)  •  17 days ago
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Consultant (m,w,d) AD-Validation PM - SAE L4 Automated Driving & E2E AI Systems


P3 Group GmbH | online seit: 12.05.2026 Der einzigartige Aspekt unserer Unternehmensberatung liegt in der Denkweise unserer Mitarbeitenden: Neugierig, abenteuerlustig und innovationsfreudig. P3 Beraterinnen und Berater übernehmen früh Verantwortung gegenüber Kunden im Bereich Managementberatung, bei vielfältigen Technologiethemen und skalierbaren IT-Lösungen.

Mache ein Projekt zu deinem Projekt Offenheit für neue, innovative und unkonventionelle Ansätze, kurze Entscheidungswege, ein respektvolles Miteinander und fruchtbare Synergien machen uns zu einem diversen, unschlagbaren Team und erfolgreichen Unternehmen - weltweit.
WHAT YOU'LL DO
  • Lead and structure SAE Level 4 autonomous driving validation programs across the full development lifecycle, from concept phase to series readiness, homologation and operations
  • Define and operationalize holistic validation strategies for E2E AI‑based AD systems, combining scenario‑based testing, data‑driven validation, simulation, and real‑world testing
  • Translate regulatory, safety and quality requirements (ASPICE, ISO 26262, SOTIF, homologation, ISO PAS 8800) into executable validation concepts, KPIs and release criteria
  • Analyze the validation implications of key AD system components, including camera, radar, lidar, sensor fusion, localization, prediction, planning, control, data pipelines and runtime monitoring
  • Analyze / orchestrate SiL, HiL, MiL and vehicle‑level testing and ensure seamless integration into automated CI/CD pipelines
  • Drive scalable validation approaches for AI models (incl. coverage metrics, corner‑case detection, data curation strategies, and confidence arguments)
  • Define AI model validation KPIs and acceptance thresholds, including scenario coverage, ODD coverage, perception and planning performance, uncertainty calibration, robustness, latency, temporal consistency, rare-event behavior and regression stability
  • Align validation scope and evidence with Type Approval and AD Safety Management Systems (AD‑SMS)
  • Act as central interface between AI development teams, system engineers, toolchain providers, test organizations, and external stakeholders (e.g. authorities, partners, suppliers)
  • Manage stakeholders at program and management level, including reporting, risk management, decision preparation and escalation
  • Proactively identify validation risks related to AI behavior, operational design domain (ODD) boundaries, and system interactions


WHO YOU ARE
  • A university degree in Engineering, Computer Science, Artificial Intelligence or a related field
  • Solid understanding of AI/ML concepts for autonomous driving, including E2E vision-heavy approaches, data‑driven development and AI‑specific validation challenges
  • Deep understanding of the validation challenges of SAE Level 4 automated driving systems, including ODD definition, scenario coverage, residual risk assessment, safety case development and evidence-based release decisions
  • Hands‑on experience with Simulations, SiL and HiL testing, ideally integrated into automated CI/CD environments
  • Strong technical understanding of AD system architectures, including modular pipelines, E2E AI models and hybrid architectures, as well as their impact on validation strategy and safety argumentation
  • Practical knowledge of camera, radar and lidar sensor characteristics, sensor fusion principles, calibration, synchronization, degradation effects and typical failure modes relevant for AD validation
  • Proven track record in high‑reliability industries (automotive, aerospace, medical), with deep exposure to ASPICE, ISO
    26262, SOTIF and homologation processes
  • Strong analytical and structuring skills to translate abstract safety, regulatory and AI risks into concrete validation strategies
  • Ability to work proactively and independently in agile, cross‑functional teams, lead validation initiatives, and align multiple internal and external stakeholders

Kontakt

P3 group GmbH
Daniel Wulf
D: +49 711 252 749 0
T: +497112527490
daniel.wulf@p3-group.com

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About P3

P3 enables clients to succeed in their business by delivering tangible value.

 

Founded in 1996 as a spin-off from a globally-recognized, leading technical university, P3 began with the goal of implementing an innovative new process and has remained focused on serving clients from innovation to implementation.  P3 has around 1800 employees across 30 locations globally.

 

Who we work with

We work within organizations and teams to develop and implement innovative solutions to complex technology challenges. Our clients are open-minded, secure leaders who seek solutions. They have the courage to bring in outside experts who can provide long-term value to their organization.

 

What we do

Our fresh, innovative application of technical and managerial best practices puts tailored solutions in place – not just on paper – with continuous guidance until a project or process is implemented, and tangible value has been achieved.

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Industry
Consulting & Advisory
Company Size
1,001-5,000 employees
Headquarters
Stuttgart, DE
Year Founded
1996
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