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软件工程师

Software Engineer

梅特勒-托利多（Mettler Toledo）

地点
常州，中国
发布
2026-05-18
编号
22092

测试测量与科学仪器称重与工业检测

职责

  • NxDI 项目技术交付：负责 NxDI 项目端到端软件开发，从需求转化到商业化，包括开发核心功能和使用硬件原型验证可行性。
  • 对新兴技术（例如边缘人工智能）进行预研究，为研发路线图提供信息——通过技术报告或概念验证提供可操作的见解。
  • 跨职能协调：与产品经理合作，将市场需求分解为可用于冲刺的用户故事，确保与 SAFe 计划目标保持一致。
  • 发布后软件管理：负责已部署的 Pi 产品的持续维护，确保其可靠性和相关性；通过根本原因分析和有针对性的补丁解决现场问题，最大限度地减少客户停机时间；迭代改进遗留代码库，以提高可扩展性、安全性和对不断发展标准的合规性。
  • 客户反馈整合：与支持团队合作，优先处理能够提升用户体验并降低总体拥有成本的 MOL 任务。
  • 工业人工智能应用：利用 Python、PyTorch/TensorFlow 和 OpenCV 来增强 Pi 的核心功能；预研究原型：构建轻量级的边缘人工智能概念验证，以降低 NxDI 投资的风险。
  • 无缝软硬件协作：开发与硬件紧密集成的软件组件；优化实时算法，实现高可靠性运行；定义并遵守软件和硬件子系统之间的接口协议，以消除瓶颈。
  • 问题解决：使用调试工具排查跨域问题。
  • SAFe 实践采纳：积极参与 SAFe 仪式（PI 计划、Sprint 评审、回顾），以与团队目标保持一致并跟踪进度。
  • 迭代交付：将大型任务分解为冲刺规模的用户故事，根据业务价值确定优先级，并确保按时交付增量功能。
  • 持续改进：在回顾会议中反思个人工作流程——找出提升代码质量、协作或 SAFe 遵循度的机会。

必备要求

  • 计算机科学、电气工程、机电一体化或相关领域的学士或硕士学位（硕士学位优先）。
  • 2 年以上工业检测设备（X 射线、检重秤、金属探测器）软件开发实践经验。
  • 精通 C/C++（实时、性能关键型模块）或 Python（AI/ML 原型设计、脚本编写）。
  • 精通版本控制（Git）、CI/CD 流水线（Jenkins/GitLab CI）和调试工具。
  • 熟悉硬件接口（SPI、I2C、以太网/IP）以及将传感器/PLC 与软件集成。

优先条件

  • 具备人工智能/机器学习框架和计算机视觉库（OpenCV）在工业应用中的实践经验（加分项）。
  • 能够将 SAFe 原则（例如系统思维、流程管理）应用于个人工作流程，以实现高效交付。（加分项）

Responsibilities

  • NxDI project technical delivery: responsible for end-to-end software development of NxDI projects, from requirements transformation to commercialization, including developing core functions and validating feasibility using hardware prototypes.
  • Conduct pre-research on emerging technologies (e.g., edge AI) to inform the R&D roadmap—providing actionable insights through technical reports or proof-of-concepts.
  • Cross-functional coordination: collaborate with product managers to decompose market requirements into sprint-ready user stories, ensuring alignment with SAFe program objectives.
  • Post-release software management: responsible for ongoing maintenance of deployed Pi products, ensuring reliability and relevance; resolve field issues through root cause analysis and targeted patches to minimize customer downtime; iteratively improve legacy codebases to enhance scalability, security, and compliance with evolving standards.
  • Customer feedback integration: collaborate with support teams to prioritize MOL tasks that improve user experience and reduce total cost of ownership.
  • Industrial AI applications: leverage Python, PyTorch/TensorFlow, and OpenCV to enhance Pi's core functions; pre-research prototypes: build lightweight edge AI proof-of-concepts to de-risk NxDI investments.
  • Seamless hardware-software collaboration: develop software components tightly integrated with hardware; optimize real-time algorithms for high-reliability operation; define and adhere to interface protocols between software and hardware subsystems to eliminate bottlenecks.
  • Problem solving: use debugging tools to troubleshoot cross-domain issues.
  • SAFe practice adoption: actively participate in SAFe ceremonies (PI planning, Sprint reviews, retrospectives) to align with team goals and track progress.
  • Iterative delivery: decompose large tasks into sprint-sized user stories, prioritize based on business value, and ensure on-time delivery of incremental features.
  • Continuous improvement: reflect on personal workflows during retrospectives—identify opportunities to improve code quality, collaboration, or SAFe adherence.

Must Have

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, Mechatronics, or a related field (Master's preferred).
  • 2+ years of hands-on software development experience in industrial inspection equipment (X-ray, checkweigher, metal detector).
  • Proficiency in C/C++ (real-time, performance-critical modules) or Python (AI/ML prototyping, scripting).
  • Proficiency in version control (Git), CI/CD pipelines (Jenkins/GitLab CI), and debugging tools.
  • Familiarity with hardware interfaces (SPI, I2C, Ethernet/IP) and integrating sensors/PLC with software.

Preferred

  • Hands-on experience with AI/ML frameworks and computer vision libraries (OpenCV) in industrial applications (a plus).
  • Ability to apply SAFe principles (e.g., systems thinking, flow management) to personal workflows for efficient delivery (a plus).

公司简介

梅特勒-托利多（Mettler Toledo）是一家全球领先的精密仪器及衡器跨国制造商，于 1989 年由美国托利多（Toledo）和瑞士梅特勒（Mettler）合并而成，在瑞士格赖芬塞设有运营总部并在纽交所上市（代码：MTD）。公司业务遍及全球 140 多个国家和地区，主要为实验室研发、工业生产、食品零售以及物流运输提供高精度的天平、分析仪器、过程检测传感器、重型衡器及产品异物检测系统等全面解决方案。