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
Solid 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

📌 System Engineer Kanata (Canada)
🏢 Vertage
📍 Canada