Software Engineer (Fresh Master Graduate – Campus Hire, 2027) Job Summary We welcome outstanding fresh master graduates to join our Biologics Manufacturing & Technical Development digital team. We provide one-on-one mentor coaching, systematic training covering biomanufacturing workflows, cGMP regulations, industrial software standards and digital tool stacks. You will participate in the full lifecycle development of compliant digital systems supporting biologics production, QC, batch data management and lighthouse unmanned factories. Working alongside process scientists, QA/QC and manufacturing teams, you will apply full stack software development, data analytics, AI/ML and cloud technologies to build lightweight digital tools under guidance. You will support automation upgrade, data transparency and continuous optimization for 24/7 unmanned lighthouse production lines, and grow into a professional digital engineer focusing on biomanufacturing intelligence. Key Responsibilities 1. Under mentor guidance, participate in full-stack design, front-end & back-end coding, unit testing and auxiliary deployment of internal software tools for process monitoring, data collection, batch record management and lighthouse factory visualization; assist seniors to align all deliverables with cGMP and data integrity standards. 2. Collaborate with cross-functional teams to collect, sort and organize business requirements; convert clarified demands into implementable front-end and back end technical plans reviewed by senior engineers. 3. Assist in building lightweight data pipelines, interactive front-end dashboards and standardized reporting modules for manufacturing data; support real-time data viewing and analysis for automated lighthouse production lines. 4. Take part in lightweight AI/ML module development including process modeling, equipment anomaly detection and predictive analytics; complete data cleaning, feature engineering, model training and result visualization on front-end platforms for biomanufacturing scenarios. 5. Participate in development and functional testing of cloud-native full-stack lightweight applications for manufacturing data storage, remote monitoring and hybrid cloud data access of lighthouse factories. 6. Support evaluation, PoC verification and docking testing of AI, cloud and automation tools; assist front-end & back-end integration with existing MES, LIMS and SCADA systems. 7. Learn FDA & EMA regulatory requirements; assist seniors in drafting development records, test protocols and auxiliary documents for software validation and audit preparation. 8. Collect and sort daily fault logs of full-stack digital systems; assist root cause analysis and verification of front-end/back-end troubleshooting solutions to minimize manufacturing interruption. 9. Participate in software version control, full-stack interface change record filing and document sorting to meet GMP audit standards. 10. Conduct technical research on emerging digital technologies (AI/ML, cloud, industrial automation, full-stack frameworks); deliver internal research reports and small full-stack demo prototypes for team reference. Requirements Mandatory Requirements 1. Fresh master’s graduate within 1 year of graduation, major in Computer Science, Software Engineering, Automation, Control Engineering, Data Science or other related quantitative disciplines. 2. Solid fundamentals in data structures, algorithms, computer networks and software engineering development workflow; capable of independent small full stack program development via graduation projects or internships. 3. Proficient in at least one mainstream back-end development language (Python / Java / C++); have hands-on front-end development experience with mainstream frameworks (Vue / React / Angular), proficient with SQL/NoSQL database design and basic scripting automation. 4. Basic hands-on experience with mainstream ML frameworks (PyTorch / scikit learn / TensorFlow), able to finish standard data analysis and modeling tasks independently. 5. Strong logical thinking, active learning ability and good written documentation skills; willing to systematically learn biopharma manufacturing processes and GMP compliance knowledge. 6. Excellent communication and teamwork spirit; accept mentor-guided working mode with long-term career intention in biomanufacturing digitalization. Preferred Qualifications (Not mandatory, bonus for candidates with relevant project/internship experience) 1. Internship or graduation project experience in pharmaceutical/biologics manufacturing, industrial automation, MES/LIMS/SCADA related full-stack software development. 2. Practical experience with cloud platforms (Tencent Cloud / GCP / AWS), Docker containerization and data visualization front-end frameworks. 3. Project experience on industrial time-series data analysis, equipment predictive maintenance or production process optimization based on machine learning, with complete front-end & back-end delivery. 4. Basic understanding of biomanufacturing workflows, industrial communication protocols (OPC UA / Modbus) or GMP data integrity rules. 5. Experience drafting test specifications, validation documents or standardized full stack development records during internships or school projects. 6. Hands-on experience with small-scale full-stack automation or unmanned factory digital tool development.