[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Mercedes-Benz Group jobs](https://jobs.opennash.com/companies/mercedes-benz-group/) · [Search jobs](/search/) Mercedes-Benz Group # Camera System Architect 238398 Mer00048Af Listed on Mercedes-Benz Group’s official careers site. Listed as of October 20, 2026. Check that it is still open and apply there. [Apply on Mercedes-Benz Group’s careers site →](https://jobs.mercedes-benz.com/en/camera-system-architect-238398-mer00048af) [OpenNash Jobs](https://jobs.opennash.com/) / [Mercedes-Benz Group](https://jobs.opennash.com/companies/mercedes-benz-group/) / Camera System Architect 238398 Mer00048Af ## Job description Tasks Objectives 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. Main tasks 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. ### Qualifications Qualifications 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 ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Oct 13, 2026 - Last checked: Oct 20, 2026 - Listed for: 7 days[Apply on Mercedes-Benz Group’s careers site →](https://jobs.mercedes-benz.com/en/camera-system-architect-238398-mer00048af) ## More jobs at Mercedes-Benz Group ### [Active Safety Customer Function Owner 194173 Mer0003Wc2](https://jobs.opennash.com/companies/mercedes-benz-group/jobs/fa26d6fa96ee0e5cd0ac/) ### [Advisor Process Improvement 241414 Mer00048Vs](https://jobs.opennash.com/companies/mercedes-benz-group/jobs/5ce0a731cd8124ebfb09/) ### [Architect 211146 Mer0004024](https://jobs.opennash.com/companies/mercedes-benz-group/jobs/1646d68638fbd8339a52/) ### [Audio And Cockpit Domain Hw Architect 235918 Mer00047Kt](https://jobs.opennash.com/companies/mercedes-benz-group/jobs/510dfaf526e436bb88b7/) ### [Ausbildung Als Sozialversicherungsfachangestellter (Wmd) Mercedes Benz Ag Werk Bremen Ausbildungsbeginn 01.09.2027 219021 Mer00043Ef](https://jobs.opennash.com/companies/mercedes-benz-group/jobs/7597a4916fcaf563e3ea/) ## Similar jobs at other companies ### [System Integration Architect](https://jobs.opennash.com/companies/siemens/jobs/40dcaa7b4b8768974cf3/) Siemens ### [Senior Principal AI System Architect](https://jobs.opennash.com/companies/sandisk/jobs/5fbc447db14e721f5259/) Sandisk ### [System Architect - Automation Train Protection Systems](https://jobs.opennash.com/companies/siemens/jobs/ffa03cab68f642adac62/) Siemens ### [San Francisco Bay Area Staff System Architect Ca](https://jobs.opennash.com/companies/te-connectivity/jobs/f0281d01469194855185/) TE Connectivity ### [Pega Senior / Lead System Architect (all genders)](https://jobs.opennash.com/companies/accenture/jobs/3c2fa04a442d7aa5d6e0/) Accenture OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations. OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)