Automotive GenAI & Edge Systems Architect — Principal

MediaTek; San Jose (CA); On-site; USD 171,200 - 286,600; Full time

Job summary

MediaTek Incorporated's Automotive Platform Business Unit seeks a Principal Engineer – Generative AI & Edge Systems, Automotive, to research and develop GenAI and DL-based systems for Infotainment, Speech, UI, and multimodal ADAS on edge hardware.

You will lead end-to-end on-device LLM optimization, collaborate with Silicon and Software teams at HQ in Taiwan and automotive customers, and drive production-ready edge AI solutions while navigating constraints of embedded compute.

Qualifications

• Master’s degree in Computer Science, Electrical Engineering, Mathematics, or related field.
• 10+ years of software engineering experience, incl. 4+ years GenAI/LLM.
• Experience with edge AI on resource-constrained hardware.
• Proficient in C, C++, and Python; ML/DL framework experience.
• Experience deploying and optimizing LLMs on edge devices.

Responsibilities

• Research and develop Generative AI and DL systems for in-vehicle domains; Infotainment, Speech, UI, multimodal ADAS.
• Lead integration of GenAI frameworks and edge compute toolchains.
• Collaborate with HQ and automotive customers on GenAI/LLM solutions with edge feasibility.
• Own end‑to‑end LLM optimization for on‑device deployment on GPUs/NPUs.
• Track advances in edge AI and translate into practical improvements.

Skills

C

C++

Python

Edge AI

Multimodal AI

In-vehicle AI

System optimization

Agile methods

Education

Master's degree in Computer Science / Electrical Engineering

Tools

TensorFlow

PyTorch

NeMo

TAO

TensorRT

CUDA

vLLM

ONNX Runtime

ggUF/llama.cpp

Job description

MediaTek Incorporated's Automotive Platform Business Unit seeks a Principal Engineer – Generative AI & Edge Systems, Automotive, to research and develop GenAI and DL-based systems for Infotainment, Speech, UI, and multimodal ADAS on edge hardware.

You will lead end-to-end on-device LLM optimization, collaborate with Silicon and Software teams at HQ in Taiwan and automotive customers, and drive production-ready edge AI solutions while navigating constraints of embedded compute.