Mercedes-Benz Group China Ltd.
Automotive
ProductDevelopmentManagementSystemEngineer产品开发管理体系工程师
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“Product Development Management System Engineer 产品开发管理体系工程师 at Mercedes-Benz Group China Ltd.. Skills: Vehicle software verification, Release management system. Build and continuously optimise an industry-leading Software Engineering. Act as owner of the Software Engineering Management”
What You'll Achieve.
Consistent, high-quality, AI-empowered and scalable delivery; Stable quality; Predictable execution; Transparent control of engineering effort and cost; Structured execution; Clear accountability; Predictable cadence; Full lifecycle transparency; Controlled vehicle releases; SOP readiness; Balanced trade-offs between quality, timing, and resources; Improved execution efficiency; Improved deliverable quality; Early identification of integration risks; Early identification of schedule risks; Early identification of budget risks
Industry & Context.
Data-based analysis; Risk management
What They're Looking For.
Must Have
Bachelor degree or above, 8–10+ years of work experience in vehicle software or complex system software development, Experience in building and operating software engineering systems for IVI/ADAS/TCU, Practical engineering experience with cross-domain collaboration, Practical engineering experience with tight hardware–software coupling, Practical engineering experience with multi-configuration parallel development, Practical engineering experience with system-level integration, Experience working with software suppliers and Tier-1 partners, Ability to balance complex software engineering environments, Ability to make informed adaptation designs, Hands-on experience with engineering and project management tools, Ability to leverage AI tools, Fluent in English, Good communication skills, Eager to learn, Proactive in work
What You'll Do.
Build and continuously optimise an industry-leading Software Engineering
Act as owner of the Software Engineering Management
Benchmark against leading OEMs and Tier1s
sustainable management system
Define an end-to-end software engineering lifecycle
Establish phase boundaries
Build unified mechanisms for requirements management
Build unified mechanisms for architecture governance
Build unified mechanisms for interface governance
Build unified mechanisms for consistency governance
Ensure decision documentation and full traceability
Establish a vehicle-level software verification and release management
Integrate quality and risk control into development phases
Define risk-based verification methodologies
Define control points and release criteria
Systematically identify quality issues
Systematically identify efficiency issues
Systematically identify process issues
Systematically identify cross-team collaboration issues
Use structured retrospectives
Use data-based analysis to refine the management system
Align internal projects
and external partners
Drive consistent system adoption through toolchains
Drive consistent system adoption using AI-based capabilities
How You'll Work.
Team & Collaboration
Cross-domain collaboration; Cross-team collaboration; External partners
Communication Scope
Good communication
Process & Methodology
Project management, Cost governance, Efficiency governance, Delivery cadence, Schedule risks, Budget risks
Full Job Description
Objective of job Build and continuously optimise an industry‑leading Software Engineering Mgmt. System. for Mercedes-Benz RD China, enabling consistent, high‑quality, AI-empowered and scalable delivery of complex automotive projects, i.e., IVI/ADAS/TCU. Task description ( Main tasks ) 1. Build an industry-leading software engineering management system with cost and efficiency governance Act as a owner of the Software Engineering Management System. Within the MB engineering context, benchmark against leading OEMs and Tier1s and establish a scalable, sustainable management system that enables large‑scale delivery, stable quality, predictable execution, and transparent control of engineering effort and cost. 2. Design an end-to-end software engineering lifecycle with planning anchors Define an end‑to‑end software engineering lifecycle covering requirements, system and software design, implementation, integration, verification, release, and post‑release from a vehicle and system perspective. Within this lifecycle, clearly establish phase boundaries, decision gates, handover logic, and inputs/outputs, addressing high HW/SW coupling and parallel multi‑configuration development, ensuring structured execution, clear accountability, and predictable cadence. 3. Establish unified requirements, governance framework, and end-to-end engineering controllability Within the defined lifecycle framework, focus on the most critical and failure‑prone engineering areas by building unified mechanisms for requirements management (intake, analysis, decomposition, and change control), together with architecture, interface, and consistency governance. Ensure decision documentation and full traceability, enabling cross‑ team consistency, strong engineering controllability, and full lifecycle transparency. 4 . E stablish a vehicl e software verification and release mgmt. system with lifecycle risk mgmt. Within the lifecycle framework, establish a vehicle‑level software verification and relea
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