Consultant (m/f/d) AD-Validation Project Management – SAE Level 4 Automated Driving & E2E AI Systems

P3 Ingenieurgesellschaft mbH; Stuttgart; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

P3 Ingenieurgesellschaft mbH seeks a Consultant (m/f/d) to lead and structure SAE Level 4 autonomous driving validation programs across the full development lifecycle. You will translate regulatory and safety requirements into executable validation concepts and KPI-driven release criteria.

You will collaborate with AI development teams, system engineers and external stakeholders, manage risks, and drive CI/CD integration for scalable validation approaches of AI models.

Qualifikationen

• You hold a university degree in Engineering, Computer Science, AI or related field.
• Solid understanding of AI/ML for autonomous driving and validation challenges.
• Deep understanding of SAE Level 4 validation, ODD, coverage, safety case.
• Hands-on experience with simulations, SiL and HiL testing integrated in automated CI/CD.
• Strong technical understanding of AD system architectures and sensor tech.
• Experience with ASPICE, ISO 26262, SOTIF and homologation.
• Able to work independently in agile, cross-functional teams and manage stakeholders.

Aufgaben

• Lead and structure SAE Level 4 autonomous driving validation programs across the full development lifecycle.
• Translate regulatory, safety and quality requirements into executable validation concepts.
• Analyze validation implications of AD components (camera, radar, lidar, sensor fusion, localization, planning, control).
• Orchestrate SiL, HiL, MiL and vehicle-level testing and integrate into automated CI/CD pipelines.
• Drive scalable validation approaches for AI models, including coverage metrics and data strategies.
• Define AI model validation KPIs and acceptance thresholds.
• Align validation scope with Type Approval and AD-SMS.
• Act as central interface between AI teams, system engineers, toolchain providers, test organizations and authorities.
• Manage stakeholders at program and management level, including reporting and risk management.
• Identify validation risks related to AI behavior and ODD boundaries.

Kenntnisse

AI/ML concepts

AD validation

CI/CD pipelines

Validation planning

Stakeholder management

Ausbildung

University degree in Engineering, Computer Science, AI

Tools

SiL

HiL

MiL

CI/CD tools

Jobbeschreibung

Consultant (m/f/d) AD-Validation Project Management – SAE Level 4 Automated Driving & E2E AI Systems

• Autonomous Driving

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.

• 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 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.

WHO YOU ARE

• 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 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.

GOOD TO KNOW

• 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