Job
- Level
- Experienced
- Job Field
- IT, DevOps, Test/QA
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you develop AI-assisted validation strategies for an inter-domain multi-agent system, testing behavioral boundaries, utilizing cloud environments, and optimizing test architectures for autonomous vehicles.
Job Technologies
Your role in the 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 behavioral 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.
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Our expectations of you
Education
- University degree in Computer Science, AI/ML, Systems Engineering, or a related field.
Qualifications
- 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.
Experience
- 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.
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What we offer
- 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.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
BMW AG
Our world-leading premium automotive brands BMW, MINI, Rolls-Royce and our motorcycles, along with our comprehensive range of high-quality financial and mobility services make us a unique provider.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier, Industry, Production
Dev Reviews
by devworkplaces.com
Total
(2 Reviews)3.1
Career Growth
3.1Engineering
2.3Culture
3.1Workingconditions
4.1
Validation Engineer - Multi-Agent AI Systems
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
