Artificial Intelligence is changing the automotive industry extensively and brings with it huge business opportunities. As a premium manufacturer, Mercedes Benz is committed to shaping the future of mobility through AI-driven products and services that enhance safety, convenience, and sustainability. To strengthen our current team, we are looking for a senior system architect focusing on the camera domain. The role owns end-to-end camera system architecture design and full-stack delivery covering camera hardware, driver, ISP, image tuning, camera services and application layers.
Responsibilities:
Design and deliver complex, production-grade automotive camera system solutions across multiple SoC platforms, responsible for overall system architecture design, technical verification, performance optimization, and ensuring system stability, scalability and compliance with automotive mass-production and functional safety standards.
Own full-stack camera system development and iteration, covering hardware specification, low-level driver bring-up, ISP pipeline configuration & tuning, Android Automotive camera service optimization, and end-to-end application-layer integration.
Lead the design and performance optimization of multi-camera concurrent streaming systems, resolve core challenges including system resource scheduling, bandwidth bottlenecks, latency jitter and frame stability to support reliable operation of complex in-vehicle camera systems.
Drive deep integration between camera systems and in-car AI platforms, design technical solutions for camera-based multimodal perception features, and support the development, debugging and mass delivery of intelligent vehicle multimodal functions; collaborate closely with external suppliers and partners to ensure robust perception AI deployment.
Host cross-domain architecture reviews with vendors and subsystem architects in large-scale vehicle projects, align cross-module technical specifications, resolve architecture conflicts and system-level technical risks, and unify overall camera system design standards.
- Bachelor’s degree or above in Computer Science, Electronic Engineering or related fields, with 5+ years of professional experience in automotive intelligent vehicle camera system architecture and full-stack development.
- Proficient in C/C++ embedded programming and embedded system principles; possess comprehensive end-to-end camera full-stack expertise covering camera hardware, driver, ISP tuning, HAL, Android Automotive camera framework, data flow processing and upper-layer application adaptation.
- Solid computer vision knowhow, with a clear understanding of visual perception principles and AI model deployment mechanisms; capable of enabling vehicle multimodal features via efficient camera-AI system integration and adaptive optimization.
- Proven experience in multi-camera stream system performance tuning and complex camera solution design across diversified SoC platforms; capable of cross-vendor technical docking and project delivery.
- Strong systematic architecture thinking and cross-domain collaboration capabilities, with hands-on experience in large-scale automotive cross-subsystem projects and vendor architecture reviews; able to independently tackle system-level technical bottlenecks and drive technical breakthroughs.
- Strong multi-tasking capabilities
- Strategic thinking, analytical, and problem-solving skills
- Excellent communication and interpersonal skills.
- English in written and spoken
