主要职责/Your Responsibilities:

Technical key words:

1. Identify requirements and define strategies

• Identify "customers" and their needs: proactively research internal and external R&D teams, partners, and industry trends to pinpoint key pain points and future requirements in areas such as development processes, toolchains, and data loops.
• Define Strategy and Portfolio: Based on business strategy and identified needs, plan the long-term roadmap and short-term implementation roadmap for the ADAS R&D support system (covering toolchains, processes, data infrastructure, CI/CD, etc.), and clarify priorities.

2.  Collaboration with External Parties

• Supplier and Partner Management: Evaluate, select, and manage key tool, platform, and service providers. Lead business negotiations, coordinate supplier activities, and oversee project progress and delivery quality in collaborative initiatives.
• Cross-departmental collaboration: As the platform's representative, work closely with departments such as procurement, IT, and other relevant functions and resource providers to ensure the effective implementation of related plans

3. End-to-end planning, delivery, and operational implementation

• Develop an execution plan and roadmap: Translate the strategy into a specific program plan, create a phased and measurable release and deployment roadmap, and rationally allocate resources and time to ensure orderly value delivery.
• Lead the entire project lifecycle management: oversee all relevant projects, take responsibility for scope, schedule, budget, and risk management, and drive the deployment of toolchains, process transformation, and platform launch.
• Manage Release, Deployment, and Rollout: Systematically oversee the release and promotion plans for new tools and processes, driving team adoption through training, documentation, and pilot programs to ensure effective implementation.
• Coordinate Resources and Drive Implementation: Effectively coordinate resources across teams such as software, algorithms, testing, and data to ensure project objectives are met.

4. Continuous Evolution

• Driving Continuous Optimization: Based on user feedback and business changes, lead the iterative optimization and continuous evolution of implemented systems to ensure their long-term viability.

岗位要求/Required Qualification:

1. Solid technical expertise: Deep understanding of the full lifecycle of large-scale software development, with profound knowledge of DevOps, CI/CD, data-driven development, and cloud-native technologies. Experience in ADAS/autonomous driving or complex system software development.
2. Outstanding end-to-end delivery capability: Possess hands-on experience in successfully leading large-scale, cross-departmental technical platform or infrastructure projects through the entire lifecycle, from conceptual planning and development implementation to release operation and value validation.
3. Outstanding Ecological Collaboration Capability: Extensive experience in supplier management, technology selection, and business coordination, along with excellent negotiation and partner relationship maintenance skills.
4. Influence and Leadership: Exceptional cross-departmental communication, coordination, and influence, proficient in change management and program management, skilled in driving organizational adoption of new initiatives.