SHVS Software Engineer
- China
- Permanent
- Full-time
- Digitalization & Insight for R&D：dentify and analyze key data points and optimization opportunities across the R&D lifecycle, building interactive dashboards to turn complex data into clear insights.
- R&D Efficiency Toolchain Development: Create smart assistive tools to enhance design decisions, build an internal knowledge base to activate
- engineering expertise, and automate core workflows to boost productivity.
- Emerging Tech Exploration & Prototyping: Track innovative technologies like AI (especially Generative AI) and rapidly build Proof-of-Concept (PoC) prototypes to inform technology decisions.
- Project Implementation & Coordination: Manage the end-to-end delivery of small to medium-sized applications and act as the core technical lead on larger projects, coordinating internal and external resources.
- Education: Bachelor's degree or higher in Computer Science, Software Engineering, Data Science, Automation, or a related engineering field.
- Bonus Points:
- Front-end development experience (e.g., Vue, React).
- Experience in digital transformation projects in industrial or B2B sectors.
- Experience managing outsourced software projects.
- Familiarity with a major cloud platform (AWS, Azure, etc.).
- AI Foundation: Solid understanding of fundamental Machine Learning concepts. A strong interest in and foundational knowledge of Large Language
- Models (LLMs) is highly desirable. Practical experience leveraging APIs from major AI platforms or using open-source frameworks (e.g., LangChain,
- Hugging Face) is a major plus.
- Data: Strong data processing and analysis skills; expert in SQL. Hands-on experience with data visualization tools (e.g.,Alteryx, Tableau, ECharts).
- Language: Good English (reading and writing) for technical documentation and communication.
- Software Engineering: Alignment to software engineering standard processes, including version control with Git, unit testing, and CI/CD concepts.
- Programming: Proficiency in Python and its ecosystem (e.g., Pandas, NumPy, Scikit-learn). Experience building APIs with web frameworks (e.g.,
- FastAPI, Flask) is essential.
- Experience: 3+ years of relevant experience with a proven track record in data analysis, software development, or AI application deployment.
- Competitive salary and performance-based bonuses.
- Comprehensive health and wellness plans.
- Opportunities for career development and continuous learning.
- Flexible work arrangements to support work-life balance.
- Inclusive and collaborative company culture.
- Employee recognition programs.