AI Efficiency Architect (Intelligent R&D Productivity Expert)_BCSC at Bosch Group

Wuxi, Jiangsu, China -

Full Time

Start Date

Immediate

Expiry Date

10 Aug, 26

Salary

0.0

Posted On

12 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Agents, LLMs, Prompt Engineering, RAG, Multi-agent Frameworks, Python, Java, ADAS, Embedded Software Development, Simulink, CANoe, AUTOSAR, ISO 26262, ASPICE, Workflow Automation, R&D Productivity

Industry

Software Development

Description

Company Description Bosch China Innovation and Software Development Campus 博世创新与软件开发中心博世创新软件开发（无锡）有限公司针对交通出行的电动化、自动化、互联化、个性化，提供面向未来的创新技术和前沿解决方案，加速针对中国市场的技术战略的实现和发展。博世软件中心主要发展方向包括智能网联汽车、智能座舱、自动驾驶、车路云协同、工业4.0、人工智能大数据、智能家居、嵌入式软件服务。博世中国创新与软件开发中心以软件为客户赋能，在汽车自动驾驶、氢燃料电池、重卡电驱动桥、多合一的控制器等多个领域取得创新研发成果。 Job Description Role Overview You will define and drive the AI-driven efficiency program for software development at BCSC. The core goal is to replace repetitive, rule-based daily tasks with AI Agents + Skills – specifically within Truck ADAS, Chassis & Powertrain embedded software development. You will start with the overall productivity architecture, identify automatable workflows, gradually break business logic into executable “Skills,” and orchestrate Agentic workflows, ultimately achieving a step-change in R&D efficiency. Key Responsibilities 1. Productivity Architecture & Roadmap Analyze the full software development lifecycle (requirements → modeling → coding → testing → integration → calibration) for ADAS and Chassis/Powertrain domains. Identify high-effort, low-cognitive, standardizable daily tasks. Design a two-tier “AI Agent + Skill” architecture: define Skill granularity, I/O standards, and fallback mechanisms; design agent decision-making and orchestration logic. Create a phased roadmap with measurable goals (e.g., 30% reduction in time for test case generation, 2x faster calibration data analysis) and visible gains within 3–6 months. 2. Skillization & Scenario Implementation Convert typical engineering actions into AI-callable Skills, for example: Automatically parse ADAS scenario requirements → generate test cases Chassis controller change impact analysis → auto-update interface docs + unit test stubs Anomaly pattern detection in calibration data → produce diagnostic report Build and maintain a Skill repository to enable reuse and reduce onboarding costs for business teams. 3. Agentic Workflow Development Orchestrate multi-agent collaboration: e.g., “Requirements Change Agent → Impact Analysis Agent → Auto Test Agent → Regression Verification Agent” Enable Agents to call the existing toolchain (Jira, Git, Matlab/Simulink, Vector tools, Jenkins, etc.) Design a human-in-the-loop interface: critical decisions require manual approval; routine tasks run fully automatically. 4. Business Alignment & Adoption Work closely with UAES ADAS, Chassis & Powertrain development teams to understand real pain points under AUTOSAR, ISO 26262, ASPICE. Collaborate with functional safety and quality teams to ensure traceability and compliance of AI-generated artifacts (code, test cases, reports). Train engineers on using AI productivity tools, collect feedback, and iterate on Skills. Qualifications Must-Have Experience 5+ years in software development or R&D productivity, with at least 2 years focused on AI-powered engineering (e.g., code generation, auto test generation, defect prediction). Familiar with ADAS or Chassis/Powertrain embedded software development processes. Experience with UAES or similar Tier-1 suppliers is a strong plus. Proven track record of delivering AI Agent / Copilot / workflow automation projects (beyond just API calls), with measurable efficiency improvements. Technical Skills Solid understanding of LLMs (GPT-4, Claude, DeepSeek, etc.) and their application patterns: prompt engineering, RAG, function calling, multi-agent frameworks (LangChain, Semantic Kernel, or similar). Basic to intermediate programming (Python/Java) – able to write Skill adapters and orchestration scripts. Familiarity with at least two embedded development tools: Simulink, CANoe, Davinci, Trace32, etc. Plus: Knowledge of ASPICE, ISO 26262, AUTOSAR architecture. Core Mindset Engineering mindset: ability to turn vague “efficiency ideas” into measurable, implementable Skills. Business-driven: focus on solving real, tedious pain points for ADAS/chassis engineers – no tech for tech’s sake. Persuasive & coaching ability: willing to change team habits, backed by data. Legal Entity: Bosch Innovation and Software Development (Wuxi) Co., Ltd

Responsibilities

Define and drive an AI-driven efficiency program to replace repetitive R&D tasks with AI Agents and Skills within the ADAS and Chassis/Powertrain domains. Design the productivity architecture, orchestrate agentic workflows, and align AI tools with industry compliance standards like ISO 26262.