AI Validation Engineer

As AI-powered features become central to automotive vehicles — from ADAS perception and voice assistants to predictive diagnostics and intelligent infotainment — rigorous validation of these systems is critical for successful deployment. We are seeking a Senior AI Validation Engineer to design and implement testing strategies, frameworks, and automated pipelines that ensure the quality, safety, and reliability of deep learning and LLM-based features across vehicle platforms.

This role sits at the intersection of AI/ML engineering and automotive system validation. You will build the tools, datasets, and evaluation methodologies that enable confident delivery of AI-driven automotive solutions.

Key Responsibilities:

• Design and implement validation frameworks for deep learning models (perception, NLP, generative AI) deployed in automotive systems, covering accuracy, robustness, latency, and safety metrics.
• Develop automated test pipelines for LLM-based features, including hallucination detection, response quality evaluation, prompt regression testing, and adversarial input testing.
• Build and curate evaluation datasets and benchmarks tailored to automotive AI use cases (e.g., voice commands, diagnostic Q&A, sensor fusion outputs).
• Create AI-assisted test generation tools that leverage LLMs to automatically produce test cases, test data, and expected-result specifications from system requirements.
• Develop model monitoring and drift detection systems for AI features running in production and test environments.
• Collaborate with system architects to integrate AI model validation into existing test bench infrastructure and CI/CD pipelines.
• Implement automated regression testing for ML model updates, ensuring backward compatibility and performance parity across software releases.
• Analyze test results using statistical methods and ML techniques to identify root causes, failure patterns, and quality trends.
• Work in cross-functional Agile teams spanning AI/ML, embedded software, and system integration disciplines.