Job Summary
seeking a Systems Engineer to support its AI-powered End-to-End Software Diagnostics & Observability initiative for next-generation software-defined vehicles. This role will help define, integrate, and enhance intelligent diagnostic solutions that combine embedded vehicle systems, cloud platforms, observability tools, and AI/ML technologies to improve issue detection, root-cause analysis, and vehicle diagnostics.
Key Responsibilities
- Define system requirements, interfaces, and workflows for AI-driven diagnostic platforms.
- Support development of intelligent vehicle diagnostics, observability, and troubleshooting solutions.
- Translate business and engineering needs into technical requirements and system designs.
- Collaborate with embedded, cloud, software, and AI/ML teams to deliver scalable solutions.
- Support AI-based capabilities including knowledge retrieval, diagnostic reasoning, and decision support.
- Participate in system integration, testing, validation, and root-cause analysis.
- Define observability requirements including logs, metrics, traces, dashboards, and alerts.
- Communicate technical risks, recommendations, and solutions to stakeholders.
Required Skills
- Systems Engineering
- Systems Analysis & Architecture
- SDLC
- Product Management
- Requirements Gathering & Documentation
- Software Systems Design
- Python
- AI/ML Fundamentals
- APIs, Git, Containerization
- Strong Communication Skills
Preferred Skills
- LLMs, RAG, Vector Search, AI Agents
- GCP, Vertex AI, BigQuery
- Java
- Docker, GitHub, CI/CD
- PyTorch, TensorFlow, Scikit-learn, LangChain
- Dynatrace, Grafana
- Embedded Systems & Vehicle Diagnostics
