2 месяца назад
Solution Architect (Automotive ADAS)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Solution Architect (Automotive ADAS) (Digital Maps/SDKs): Designing end-to-end technical solutions for ADAS map and SDK opportunities, from discovery and architecture through proof of concept, integration, validation, and production readiness, with an accent on automotive map data, eHorizon, ADASIS-based exchange, and vehicle-domain platforms. Focus on leading customer workshops, solving distributed embedded integration issues, and coordinating technical delivery across OEM, Tier-1, product, SDK, validation, sales, and program teams.
Location: Shanghai, China; hybrid work with two office days per week and three days available from either the office or home
Company
Automotive develops connected navigation software, traffic information, and highly accurate digital maps for car manufacturers and self-driving vehicles.
What you will do
- Own end-to-end technical solutions for ADAS map and SDK opportunities, from discovery and architecture through PoC, integration, validation, production readiness, and post-launch evolution.
- Lead customer workshops covering ADAS and automated-driving use cases, vehicle architecture, safety requirements, software platforms, and integration constraints.
- Design architectures combining ADAS road and lane models, map streaming, dynamic services, eHorizon, map matching, route projection, and ADASIS-based data exchange.
- Guide OEM and Tier-1 engineering teams integrating map data and SDK components into IVI, ADAS domain controllers, middleware, and cloud-to-vehicle platforms.
- Lead technical PoCs and demonstrations, define acceptance criteria, manage risks and dependencies, and coordinate delivery across product, map, SDK, validation, sales, and program teams.
- Create reusable integration assets and mentor support engineers and sales teams to improve technical readiness and customer self-sufficiency.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Automotive Engineering, Robotics, Geomatics, or a related discipline.
- Typically 7+ years of relevant experience, including 3+ years in automotive ADAS, autonomous driving, digital maps, navigation, or in-vehicle software architecture.
- Strong understanding of ADAS and automated-driving architecture, including localization, planning, perception interfaces, eHorizon, map-aided driving, and vehicle-domain integration.
- Experience with automotive map standards and formats such as NDS, NDS.Live, ADASIS v2/v3, OGP, PBF, or OpenLR; strong software engineering skills in C++ and/or Java/Kotlin; working knowledge of Python.
- Experience with Linux, QNX, Android Automotive, AUTOSAR Adaptive, ROS 2, or comparable embedded automotive platforms, including distributed-system and integration troubleshooting.
- Fluent Chinese and English required, with the ability to create and deliver technical content in both languages; willingness to travel for customer workshops and critical milestones.
Nice to have
- Experience with digital map, navigation, location-platform, ADAS, autonomous-driving, automotive middleware, or intelligent-vehicle companies.
- Experience supporting China OEMs, AD Tier-1 suppliers, or autonomous-driving companies from PoC to SOP.
- Experience with Qualcomm Snapdragon Ride, NVIDIA DRIVE, Mobileye EyeQ, Horizon Robotics Journey, or Black Sesame platforms.
- Knowledge of ISO 26262, SOTIF, ISA, Euro NCAP use cases, GIS tools, simulation, vehicle testing, or sensor-derived map validation.
Culture & Benefits
- Personal development budget, paid learning days, and access to O’Reilly and LinkedIn Learning.
- Enhanced parental leave, paid care leave, and paid volunteering leave.
- Home-office setup budget and monthly home-office allowance.
- Options to work from the home country and abroad for a set number of days each year.
- Competitive holiday plan, birthday leave, annual Hackathon and DevDays events, and an inclusive global community spanning more than 80 nationalities.
Hiring process
- Application screening followed by assessments and interviews.
- Successful candidates proceed through follow-up steps and onboarding.
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