Solution Architect

You will be the primary technical partner for automotive OEMs, Tier-1 suppliers, and autonomous-driving technology companies integrating TomTom ADAS maps, services, and SDKs. You will translate customer use cases into scalable solution architectures, lead technical discovery and proof-of-concept delivery, and connect Greater China customer requirements with global product and engineering teams.

What you'll do

• Own the end-to-end technical solution for ADAS map and SDK opportunities, from discovery and architecture through PoC, integration, validation, production readiness, and post-launch evolution.

• Lead customer workshops to understand ADAS and automated-driving use cases, vehicle architecture, target markets, safety requirements, software platforms, and integration constraints.

• Design solution 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 inintegrating map data and SDK components into IVI, ADAS domain controllers, middleware, and cloud-to-vehicle platforms.

• Build and present reference architectures, interface designs, integration plans, data flows, trade-off analyses, and technical proposals for customer decision makers.

• Lead technical PoCsand demonstrations, define acceptance criteria, identifydependencies and risks, and coordinate delivery across product, map, SDK, validation, sales, and program teams.

• Troubleshoot complex integration issues across map data, APIs, SDKs, embedded platforms, networking, positioning, routing, and sensor/perceptioninterfaces.

• Represent the voice of Greater Chinacustomers to product teams, converting market feedback and technical gaps into clear product requirements and roadmap recommendations.

• Create reusable integration assets, including sample code, architecture patterns, technical documentation, FAQs, and bilingual customer enablement material.

• Mentor support engineers and sales teams, improving technical readiness, solution consistency, and customer self-sufficiency.

What you'll need

• Bachelor's or Master's degree in Computer Science, Software Engineering, Automotive Engineering, Robotics, Geomatics, or a relateddiscipline.

• Typically7+ years of relevant experience, including 3+ years in automotive ADAS, autonomous driving, digital maps, navigation, or in-vehicle software architecture.

• Strong understanding of ADAS or automated-driving system architecture, including localization, planning, perceptioninterfaces, eHorizon, map-aided driving functions, and vehicle-domain integration.

• Hands-on knowledge of digital map concepts such as road topology, lane geometry, connectivity, speed restrictions, curvature, gradient, traffic signs, road objects, and dynamic road conditions.

• Experience with automotive map or exchange standards and formats such as NDS, NDS.Live, ADASIS v2/v3, OGP, PBF, OpenLR, or equivalent proprietary formats.

• Strong software engineering skills in C++ and/or Java/Kotlin; working knowledge of Python for tooling, data inspection, or automation.

• Experience integrating or supporting software on Linux, QNX, Android Automotive, AUTOSAR Adaptive, ROS 2, or comparable embedded automotive platforms.

• Ability to diagnose distributed-systemand embedded integration issues using logs, traces, API analysis, network tools, and structured root-cause methods.

• Excellent customer-facing communication, architecture storytelling, technical writing, and stakeholder-influencing skills.

• Fluent Chinese and English, with the ability to create and deliver technical content in both languages; willingness to travel for customer workshops and critical milestones.

• Based in Shanghai or Beijing.

What's nice to have

• Experience at a digital map, navigation, location-platform, ADAS, autonomous-driving algorithm, automotive middleware, or intelligent-vehiclecompany.

• Track record supporting China OEMs, AD Tier-1 suppliers, or autonomous-driving companies from PoC to SOP.

• Experience with automotive SoCs and compute platforms such as Qualcomm Snapdragon Ride, NVIDIA DRIVE, Mobileye EyeQ, Horizon Robotics Journey, or Black Sesame.

• Knowledge of functional-safetyand safety-of-the-intended-functionalitypractices, including ISO 26262 and SOTIF, plus awareness of ISA or Euro NCAP use cases.

• Familiarity with map-data visualization, GIS tools, simulation environments, vehicle testing, or sensor-derived map validation.