公司介绍

Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

职位描述

Core Responsibilities:

AI Strategy & Vision:Define forward-looking AI strategy, roadmap, and vision for software engineering.Identify breakthrough AI applications in software engineering.Evaluate/select cutting-edge AI technologies addressing engineering pain points.Cross-functional Solution Design:Partner with software engineering leaders to understand goals/challenges.Architect AI solutions (e.g., automated code generation, intelligent testing, cost optimization).Ensure solutions are innovative, scalable, secure, and integrable.Technical Leadership & Execution:Build/lead AI solution architect/engineer teams.Provide technical guidance and oversee critical AI project implementation.Establish AI standards, best practices, and governance.Impact Measurement:Quantify business impact (e.g., cycle time reduction, defect reduction, cost savings).Continuously optimize solutions via data-driven iteration.Technical Evangelism:Promote AI adoption across engineering teams.Cultivate internal AI talent and external technical presence.

职位要求

Qualifications (AI Focus):

Education: MS/PhD in AI, Machine Learning, Computer Science, or related field.Experience & Skills:5+ years in AI/ML R&D and practical application.3+ years leading AI technical teams (algorithm/engineering/applied).Required AI Expertise: Mastery of ML, Deep Learning, Generative AI, and NLP； Proven success deploying complex AI solutions at scale.Software Engineering Aptitude: Familiarity with SDLC and modern practices (Agile/DevOps/CI-CD)； Ability to rapidly grasp software engineering challenges (Deep SWE experience is a plus, not required).Proficiency in programming languages (Python essential) and cloud platforms.Strong system architecture design skills.Soft Skills: Technical judgment, leadership, cross-functional collaboration, strategic communication, results-driven mindset.

Preferred Qualifications:

Successful AI projects in software engineering (e.g., code/test/DevOps intelligence).Experience leading AI implementations at major tech firms.Understanding of specific SWE domains (e.g., OS, compilers, databases).