Principal System Engineer, ADAS-Cockpit AI

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Harman · Cn_shanghai_12f & 15f, No. 9233 Humin Road

Full-timeRemoteToday

AgileInteraction DesignMovePrototypingPythonPyTorch

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About the role

You are a passionate AI professional, who is enthusiastic about automotive electronics and wants to define future cross-domain systems and in-cabin user experience As Principal ADAS - Cockpit AI System Engineer within the ADAS LAB, you are an expert on LLM, VLM and agentic AI , and you have a proficient understanding of relevant neighboring domains. In our ADAS Lab, you will l ead the design and implementation of ADAS-Cockpit cross-domain technical solutions , as well as d esign, develop, and maintain high-performance Agent frameworks and services that bridge ADAS systems and cockpit AI .

Responsibilities

Design and implement cross ‑ domain solutions connecting ADAS and intelligent cockpit systems

Build Agent / multi ‑ Agent frameworks for intelligent driving interaction and orchestration

Abstract ADAS capabilities (NOA, parking, driving states) into agents , skills and tools

Enable multimodal and AI ‑ driven interaction for intelligent driving features

Collaborate closely with ADAS, cockpit, system, and product teams to deliver production ‑ ready solutions

What You Need to Be Successful

Master's degree or higher in Computer Science, AI, Software Engineering, or related fields

5+ years of experience in ADAS, AI systems, or cockpit development

Solid understanding of ADAS architectures and the latest system trends

Hands - on experience with AI Agents, Model deployment , LLM workflows, or multi - Agen t systems

Understanding model supervised fine-tuning, LoRA

Proficiency in C++ and/or Python for system integration and AI prototyping

Proficiency in AI frameworks, such as PyTorch , ONNX

Experience with automotive embedded platforms ( e.g. D omain or central compute units based on SoC s from Qualcomm, Nvidia, Renesas , etc. )

Bonus Points if You Have

Strong system-level thinking: able to work across software , AI, HMI, and vehicle systems

Experience with Vision Language , Multimodal AI models or World M odels in automotive or robotics contexts

Experience with cross-domain integration involving ADAS and cockpit / IVI systems

Experience with reinforcement learning

Familiarity with driver interaction design, explainable AI, or human ‑ machine interaction

Ability to communicate complex technical concepts clearly to multidisciplinary teams

Experience working with Tier ‑ 1s, OEMs, or automotive AI suppliers is highly preferred

Experience in PoC, demo vehicles, or innovation projects

What Makes You Eligible

Fluent in English

Willingness to travel up to 20%, domestic and international travel

Willingness to work in a diverse, international, and continuously improving environment

Be willing to work in an office or home office in Shanghai

Successfully complete a background investigation and drug screen as a condition of employment

Principal System Engineer, ADAS-Cockpit AI

About the role

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Company Intel

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