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Validation Engineer - Multi-Agent AI Systems

Job

  • Level
    Erfahren
  • Job Feld
    IT, DevOps, Test/QA
  • Anstellung
    Vollzeit
  • Vertragsart
    Unbefristetes Dienstverhältnis
  • Ort
    München
  • Arbeitsmodell
    Onsite
  • Job Zusammenfassung

    In dieser Position entwickelst du AI-gestützte Validierungsstrategien für ein interdomänales multi-agent System, um Verhaltensgrenzen zu testen, dabei nutzst du Cloud-Umgebungen und optimierst Testarchitekturen für autonome Fahrzeuge.

    Job Technologien

    Deine Rolle im Team

    • We are building an inter-domain multi-agent system that spans ADAS, Infotainment and backend services for the intelligent vehicle of the future. A dedicated team designs and implements this system - your job is to prove it works. You will own the virtual validation of this multi-agent AI system in a cloud-based test environment, developing AI-assisted validation strategies that systematically explore the behavioural space of interacting agents and uncover failures that conventional testing would miss.
    • You build and operate cloud-based validation environments for a multi-agent system that operates across ADAS, Infotainment and backend-service domains - defining test architectures, scenario pipelines, behavioural oracles and regression suites.
    • Also, you design AI-assisted exploration strategies to navigate the semantic search space of the system under test: agent-based probing of behavioural boundaries, adaptive test strategies, and optimization techniques to surface edge cases and failure modes.
    • It is your responsibility to develop coverage models and metrics for non-deterministic multi-agent systems and use them to steer test generation and assess release readiness.
    • You establish validation methodologies suited to stochastic AI behaviour: metamorphic testing, property-based testing, adversarial probing and acceptance criteria grounded in confidence intervals rather than binary pass/fail.
    • You build observability and diagnostics tooling for validation runs - distributed tracing, trajectory replay, automated failure clustering and root-cause triage - so that discovered issues can be rapidly understood and communicated to the design team.
    • Furthermore, you evaluate and select the LLMs/SLMs that power your validation agents and test-generation systems, balancing latency, cost and accuracy for large-scale test campaigns.
    • You close the feedback loop between validation findings and system improvement by structuring discovered failures, coverage gaps and behavioural anomalies into actionable knowledge for the design and context-engineering teams.

    Unsere Erwartungen an dich

    Ausbildung

    • University degree in Computer Science, AI/ML, Systems Engineering, or a related field.

    Qualifikationen

    • Expert-level programming skills in at least one high-level language (C++, Java, Kotlin or Python).
    • Proficiency in AI-assisted development using coding agents such as Claude Code, GitHub Copilot or OpenCode.
    • Understanding of agentic AI architectures, agent patterns and multi-agent interaction.
    • Ability to apply optimization, search or operational-research techniques (genetic/evolutionary algorithms, Bayesian optimisation, Monte Carlo methods) to testing or exploration problems.

    Erfahrung

    • 3-5 years of hands-on experience in validation, verification or quality engineering for complex AI, ML or software-intensive systems.
    • Experience with automotive software quality processes (e.g. ASPICE, ISO 26262) is a plus.

    Unser Angebot

    • Challenging projects with which we are shaping the mobility of tomorrow together.
    • Wide range of personal and professional development opportunities.
    • Attractive, fair and performance-related remuneration.
    • High level of job security.
    • Annual special payments such as vacation pay, Christmas bonus, and profit sharing.
    • Flexible working hours including 6 weeks annual leave and overtime compensation.
    • Discounted BMW & MINI conditions.

    Benefits

    Work-Life-Integration

    Gesundheit, Fitness & Fun

    Themen mit denen du dich im Job beschäftigst

    Job Standorte

    • Standort München

      Bayern

      Deutschland

    Das ist dein Arbeitgeber

    BMW AG

    BMW AG

    Weltweit führend in der Premium-Klasse: Ob Automobile, Motorräder oder Finanz- und Mobilitätsdienstleistungen - die Marken BMW, MINI, Rolls-Royce und BMW Motorrad stehen für höchste Qualität.

    Description

  • Unternehmenstyp
    Etablierte Firma
  • Arbeitsmodell
    Hybrid, Onsite
  • Branche
    Fahrzeugbau, Zulieferer, Industrie, Produktion
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    Logo BMW AG

    Validation Engineer - Multi-Agent AI Systems

    Ort
    München
    Arbeitsmodell
    Onsite
    Diversität
    Für alle Personen geeignet (m/w/d)
    Nur Englisch
    Nur Englisch erforderlich

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