Consultant AD-Validation Project Management - SAE Level 4 Automated Driving & E2E AI Systems

The unique aspect of our management consultancy lies in the mindset of our employees: curious, adventurous and innovative. P3 consultants take on responsibility for clients early on in the areas of management consulting, diverse technology topics and scalable IT solutions.

Make a project your project. Openness to new, innovative and unconventional approaches, short decision-making processes, respectful cooperation and fruitful synergies make us a diverse, unbeatable team and successful company - worldwide.

Contact WHAT YOU’LL DO

• You lead and structure SAE Level 4 autonomous driving validation programs across the full development lifecycle, from concept phase to series readiness, homologation and operations.
• You define and operationalize holistic validation strategies for E2E AI-based AD systems, combining scenario-based testing, data-driven validation, simulation, and real-world testing.
• You translate regulatory, safety and quality requirements (ASPICE, ISO 26262, SOTIF, homologation, ISO PAS 8800) into executable validation concepts, KPIs and release criteria.
• You analyze the validation implications of key AD system components, including camera, radar, lidar, sensor fusion, localization, prediction, planning, control, data pipelines and runtime monitoring.
• You analyze and orchestrate SiL, HiL, MiL and vehicle-level testing and ensure seamless integration into automated CI/CD pipelines.
• You drive scalable validation approaches for AI models (including coverage metrics, corner-case detection, data curation strategies, and confidence arguments).
• You 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.
• You align validation scope and evidence with Type Approval and AD Safety Management Systems (AD-SMS).
• You act as central interface between AI development teams, system engineers, toolchain providers, test organizations, and external stakeholders (e.g. authorities, partners, suppliers).
• You manage stakeholders at program and management level, including reporting, risk management, decision preparation and escalation.
• You proactively identify validation risks related to AI behavior, operational design domain (ODD) boundaries, and system interactions.

• You hold a university degree in Engineering, Computer Science, Artificial Intelligence, or a related field.
• You demonstrate a solid understanding of AI/ML concepts for autonomous driving, including E2E vision-heavy approaches, data-driven development, and AI-specific validation challenges.
• You possess a 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.
• You have hands-on experience with simulations, SiL, and HiL testing, ideally integrated into automated CI/CD environments.
• You bring a 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.
• You have practical knowledge of camera, radar, and lidar sensor characteristics, sensor fusion principles, calibration, synchronization, degradation effects, and typical failure modes relevant for AD validation.
• You have a proven track record in high-reliability industries (automotive, aerospace, medical), with deep exposure to ASPICE, ISO 26262, SOTIF, and homologation processes.
• You demonstrate strong analytical and structuring skills to translate abstract safety, regulatory, and AI risks into concrete validation strategies.
• You are able to work proactively and independently in agile, cross-functional teams, lead validation initiatives, and align multiple internal and external stakeholders.

• Full ownership and entrepreneurial freedom
• A high-impact role in a dynamic, international setup
• The opportunity to actively shape AI-driven business growth
• Direct exposure to top management and international stakeholders
• Competitive compensation with performance-based incentives