System Engineer

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