Job Title: Systems Engineer – Software-Defined Vehicles & AI Infrastructure
Role Overview
We are seeking a high-caliber Young Professional (1–5 years of experience) to join our development team. This role is tailored for an engineer who has bypassed traditional, repetitive coding tracks and moved directly into system stewardship, AI orchestration, and edge-to-cloud architecture.
You will bridge the gap between cloud-native software and safety-critical automotive systems. We value proven capability over decades of tenure. We require a strong academic foundation paired with hands-on practical execution—demonstrated through production-grade Proof-of-Concepts (POCs), personal engineering portfolios, or contributions to relevant open-source repositories.
Core Responsibilities
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AI Orchestration & Supervision: Design and deploy multi-agent AI workflows to automate engineering processes, while acting as the technical supervisor to review, benchmark, and validate AI-generated code for security flaws.
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Prototype & System Integration: Rapidly build, test, and scale functional POCs linking automotive hardware/simulators to high-throughput cloud endpoints.
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Edge Data & Telemetry Tracking: Configure, manage, and scale telemetry pipelines to capture, trace, and monitor live simulation data from connected vehicle components.
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Simulation Testing & Validation: Run autonomous driving and sensor-fusion algorithms through virtual Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) simulation environments.
