1. Specification To define requirements and specifications for simulation studies of systems of a small size / low complexity and for medium size / complexity systems with help from a more senior simulation engineer. 2. Architecture To define, specify and develop new simulation models, control algorithms and generic modules with help from a more senior simulation engineer. Hereby taking into account structure, scalability, re-usability and readability of the code. 3. Analysis To plan and perform system analysis and draw correct conclusions with respect to performance and compliancy with the requirements for systems of low complexity and for medium complexity systems with help from a more senior simulation engineer. 4. Optimization To contribute to optimization (less complex, improved performance, lower costs) of the solution under development or a part of it. 5. Process To contribute to implementing process improvements within the Simulation department. 6. Reporting To professionally report to (internal and external) customers and management with help from a more senior simulation engineer. This includes reporting on small / low complexity projects in the form of progress updates, clear and understandable reports, documents, presentations or emails and also archiving all of these. • Bachelor of Science working level. • Affinity with logistical processes and automated systems. • Affinity with technology, both software/controls and mechanical. • Affinity with modelling- and analysis techniques. • Analytic mindset. • Ability to work in multi-disciplinary teams. • Good communication skills. • Proficient in presenting to (external) customers. • Proficient in explaining models and algorithms.

岗位概览 我们正在寻找一位能力出色、积极主动且富有创业精神的模拟AI研究工程师加入我们的创业团队。该角色需要具备快速实验、迭代创新的能力，并熟悉多智能体系统、强化学习（RL）、生成式AI（LLM）以及蒙特卡罗方法等尖端AI技术。 核心职责 研发并优化多智能体仿真模型，以精准模拟复杂行为。 开发和应用强化学习算法，实现智能体行为优化。 利用生成式AI（LLMs）开发高拟真交互和决策模拟。 运用蒙特卡罗方法进行情景分析、预测分析和风险评估。 与产品、工程和业务团队紧密协作，开发可扩展的实时模拟平台。 快速原型开发，根据反馈快速测试并迭代。 持续关注AI前沿研究，并将创新技术应用于平台中。 任职要求 计算机科学、人工智能或相关领域的硕士或博士学历。 熟练掌握多智能体系统、强化学习、生成式AI或蒙特卡罗方法。 熟悉Python及AI框架（如PyTorch、TensorFlow等）。 有将AI模型部署至生产环境的经验，优先考虑具有AWS云平台经验者。 出色的解决问题能力，具备较强的求知欲与沟通能力。 能适应早期创业环境，习惯快速迭代和不确定性。 优先条件 在金融、消费者研究、医疗保健、公共政策或游戏等行业有实际经验。 熟悉实时系统开发及云端基础设施扩展。 岗位职责 设计并开发先进的AI模拟模型。 与跨职能团队合作，快速原型开发并迭代解决方案。 持续测试、验证和完善模拟模型，确保准确性和稳定性。 积极探索最新的AI技术和方法，持续引入创新。

职位职责： 1、负责服务器&芯片项目板级工艺方案、DFM/DFR等可靠性设计； 2、负责芯片封装方案板级工程化落地，与封装团队协同完成芯片封装设计，包括封装Warpage Simulation及优化、板级验证方案等； 3、负责产品单板工艺及电子装联新材料、新工艺的预研开发、验证； 4、负责产品生产、现网等工艺问题失效分析等。 职位要求： 1、本科及以上学历，机械、材料、工程力学等相关专业； 2、5年以上服务器/AI加速卡等产品PCBA工艺设计经验，熟悉PCB加工工艺及不同PCB板材应用场景，熟悉SMT、波峰焊、压接等装联工艺； 3、具备芯片封装工艺相关经验，熟练掌握封装Warpage、板级应力、焊点温循等热力学仿真，有芯片封装假片板级验证经验； 4、熟悉PCBA焊点可靠性设计、掌握PCB&PCBA常见失效模式与失效分析方法； 5、具备较强的沟通能力，能够与跨部门团队良好合作。

岗位职责： 一、角色特效 1.制作高质量的布料模拟动画 负责斗篷、衣服、长袍等布料动态模拟，确保动画符合物理规律，结合角色动画，使布料动画与角色动作完美匹配。处理风吹、拖拽、碰撞等特殊布料行为，增强动画表现力。 2.布料物理优化 & 导出 优化布料模拟，确保游戏中的布料动画既流畅又节省计算资源。使用 Maya nCloth / Houdini Vellum / Marvelous Designer等软件进行高质量模拟，并将动画烘焙到骨骼以导入游戏引擎。 3.游戏引擎布料系统开发 在 Unreal Engine 5（Chaos Cloth）/ Unity Cloth System 中实现实时布料模拟。调整 布料权重 & 碰撞设置，防止穿模问题，并优化布料运动的稳定性。 二、环境特效 1.交互式环境特效 风场（影响草地、树叶、火焰、布料），水体模拟（角色进入水中，溅起水花 & 流体波动），动态雾霾、沙尘暴、雨雪特效，火焰 / 烟雾随风扩散，增加游戏沉浸感。 2.物理 & 破坏模拟（Destruction FX） 墙体崩塌、玻璃破碎、地面裂开（Houdini / Chaos Physics），角色攻击 / 爆炸后物品破坏动态反馈，确保破坏效果物理合理，同时优化 性能负载。 任职要求： 1.熟练使用布料模拟工具（至少掌握其中一项） Maya nCloth Houdini Vellum Cloth Marvelous Designer Unreal Engine Chaos Cloth Blender Cloth Simulation Qualoth（加分项） 2.熟悉布料物理 能够理解并应用摩擦、拉伸、弯曲、重力、风力影响等布料特性。 熟练调整布料模拟的碰撞、惯性、风力响应等参数。 3.具备烘焙能力 能够烘焙布料动画到骨骼或 Alembic 缓存，并优化其在游戏引擎中的表现。 4.基本的角色动画理解 熟悉角色骨骼动画，确保布料动画与角色动作自然衔接。 能够调整模拟参数，使布料适应不同角色姿势 & 运动方式。 5. 熟练使用Unreal Engine 5（Niagara / Chaos Cloth / Physics），了解Houdini。 6.有游戏或影视动画经验 岗位福利： 我们希望提供舒适、自由且富有创造力的工作环境，让你在享受创作的同时，也能获得良好的职业发展和生活平衡。 1、奖励 项目奖金 （根据游戏进度 & 贡献发放额外奖励） 年终分红计划 （优秀员工可参与项目收益分成） 2、工作模式 弹性工作时间 结果导向，无强制加班 （拒绝无意义的加班文化） 3、职业成长 公司内部定期技术分享, 成长空间大 4、创作自由度 鼓励创意 & 技术创新 参与游戏剧情 & 角色设定讨论 5、额外福利 团队团建 & 线下聚会 每月游戏 & 电影补贴 （学习也是一种娱乐！） 节日礼品 & 生日福利 （重要的日子不会被忽略）

工作职责: 1、深入理解公司业务流程及管理逻辑，通过数据分析定位业务痛点，设计基于人工智能算法的解决方案 2、运用机器学习、深度学习、强化学习、运筹优化、模拟仿真等技术方案，解决商品计划、分仓分货、物流调拨、门店配货等场景中的预测及优化问题，实现以数据驱动的智能决策 3、运用大型语言模型、自然语言处理技术，拉通集团内部各系统数据，搭建集团智能助手等应用，实现一站式办公协同系统 4、协同业务部门和数据平台部门，对现有模型进行快速迭代和高效维护，并对模型效果进行周期性统计及复盘分析 5、上级交办的其他事项 任职资格: 1、有良好的Python代码能力，熟悉高并发、高性能工程解决方案 2、算法理论知识扎实，掌握XGBoost/LSTM/CNN/线性规划/遗传算法等常见算法，并具有实际项目代码经验 3、 理解Agent-based simulation、System dynamics simulation的构建方式，及其与智能决策系统的交互方式，有实际项目经验 4、掌握大型语言模型LLM的基本逻辑，了解Langchain框架基本逻辑，具备NLP实际项目经验 5、统计学、计算机、软件工程等相关理工科本科及以上学位优先，有供应链、商业分析背景者优先

工作职责: 1、深入理解公司业务流程及管理逻辑，通过数据分析定位业务痛点，设计基于人工智能算法的解决方案 2、运用机器学习、深度学习、强化学习、运筹优化、模拟仿真等技术方案，解决商品计划、分仓分货、物流调拨、门店配货等场景中的预测及优化问题，实现以数据驱动的智能决策 3、运用大型语言模型、自然语言处理技术，拉通集团内部各系统数据，搭建集团智能助手等应用，实现一站式办公协同系统 4、协同业务部门和数据平台部门，对现有模型进行快速迭代和高效维护，并对模型效果进行周期性统计及复盘分析 5、上级交办的其他事项 任职资格: 1、有良好的Python代码能力，熟悉高并发、高性能工程解决方案 2、算法理论知识扎实，掌握XGBoost/LSTM/CNN/线性规划/遗传算法等常见算法，并具有实际项目代码经验 3、 理解Agent-based simulation、System dynamics simulation的构建方式，及其与智能决策系统的交互方式，有实际项目经验 4、掌握大型语言模型LLM的基本逻辑，了解Langchain框架基本逻辑，具备NLP实际项目经验 5、统计学、计算机、软件工程等相关理工科本科及以上学位优先，有供应链、商业分析背景者优先

-作为博西家电全球电子系统与驱动产品研发的中国中心，你将深度参与软硬件的开发与验证、驱动产品研发等核心工作，共同为家电产品提供内核支撑。 -这里有全球化的工作平台，开放包容的工作氛围，舒适宜人的工作环境，有挑战性的海外工作机会；跨职能、跨部门、跨地区的内部转岗机会；三个方向发展路径:领导力、技术专家、项目管理，等你来挑战！ -我们提供业内有竞争力的薪酬，年终奖金与节假日礼金，五险一金，补充医疗保险，年度免费体检、双休、弹性上下班、移动办公、员工宿舍、免费午餐、免费班车、丰富的工会活动等。 Job Description: 1.Embedded software development for smart home appliance 为智能家电产品开发专用的嵌入式软件 2.Participating embedded software product overall process, including requirements, design, implementation and software release. 参与软件产品开发的全过程，包括需求分析，设计，实现和发布等 3.Cooperation with global team on software development 与全球团队合作软件产品的开发 4.Design, develop and test of advanced MCU software framework platform, high quality sensor software. 先进的单片机软件平台以及高质量传感器软件的设计，开发和测试 5.Contribution to Continuous Integration and Delivery, Automatic SW Testing (CI/CD) 致力于持续性的集成和交付(CI/CD), 自动化的软件测试 Professional Requirements: 1.Experienced with C/C++ language, good coding style. 熟悉C/C++语言，良好的编码风格。 2.2+ years MCU software develop experience. STM32 MCU development experience is preferred. 2年以上单片机软件开发经验。有STM32开发经验者佳. 3.Familiar with one or two simulation software (for example MATLAB…). Algorithm simulation and corresponding development experience are preferred. 掌握一到两个仿真软件（如MATLAB…），有一定的算法仿真和开发经验者佳. 4.Familiar with hardware schematics, skilled use of oscilloscope, multi-meter and other debugging tools. 熟悉硬件原理图，熟练使用示波器、万用表等调试工具。 5.Strong sense of responsibility, good communication, compression, creativity and English reading skills. 强烈的责任心，良好的沟通能力、抗压能力、创新能力和英文资料阅读能力。 6.Self-driven, willing to accept new challenges 自我驱动，愿意接受新的挑战。

Job responsibility: 1.Responsible for the specification formulation, design, simulation and verification of photo diode and light for CMOS image sensor 2.Cooperate with application and test engineer to design test plan and evaluate chip performance； 3.Cooperate with analog design and digital design to make a CMOS image sensor. Job requirements: 1. Bachelor degree or above, CMOS image sensor design experience is preferred; 2. Familiar with TCAD, Spectra, Lumerical and TOCCATA tools; 3. Familiar with the working principle of CMOS image sensor, 4.Understand the composition and working principle of pixels; 5.Familiar with the theoretical basis of analog circuit design, familiar with device model 6.Understand the process technology; 7.Strong learning ability, analytical ability, communication skills, good team spirit.

岗位职责: 一、工作职责： 1. 开展高水平课题研究，独立完成科研任务，发表具有国际影响力的研究成果; 2. 协助课题组项目申请，积极依托课题组申请国家、省、市项目及课题; 3. 协助指导硕士或本科生; 4. 协助课题组建设和管理。 二、研究方向： （一）谭刚教授课题组 1.导师简介 谭刚，浙江大学求是讲席教授，博士生导师，创新实验室主任。研究工作曾获得国家层面如自然科学研究基金、地方政府、区域研究机构等多方支持，主持或参与基础研究项目十余项，发表研究论文90余篇，其中包括在Science (3篇), Joule, Nature Communications, ACS Energy Letters, Nano Energy等**期刊发表多篇文章。谭刚教授及合作团队在被动式辐射制冷技术、太阳光热和长波辐射动态调控智能窗、高性能碳基材料、水凝胶和气凝胶等基于新材料的节能技术进行了研究和探索，做出了具有一定首创性意义的工作，相关研究获得国内外专利授权多项，兼任《Building Simulation》副主编。 2.研究方向 建筑新材料、可穿戴电子材料、节能减排新技术、可再生能源及利用、建筑环境控制等。 三、岗位待遇 1. 薪酬：年薪40万元起（含人才补贴），优秀博士年薪一事一议； 2. 福利：享受用餐补贴、节假日福利、生日福利、健康体检等，符合条件者可享受嘉善县相应人才政策；提供人才公寓租住，协助解决子女入学入托等问题； 3. 绿色通道：期满出站后优先录用至中心科学研究岗位或工程技术岗位或推荐至省内其他高校或科研院所； 4. 其他支持：支持申报博士后科学基金、国家自然科研基金（青年和面上项目）等人才项目（见下表）；根据个人学历、职称等实际情况按照嘉善县人才政策享受相应的人才补助待遇。 任职要求: 1. 近三年内获得博士学位，身心健康，原则上年龄不超过35周岁； 2. 专业理论基础扎实，有相关学科背景，并具有创新意识； 3. 具有优秀团队协作能力和独立科研精神，能主动开展研究工作，学术作风端正、严谨。 4. 具备良好的英语听说读写能力； 5. 能够全职从事博士后工作，无博士后退站经历。

Position Overview Product designers and engineers face all kinds of challenges bringing their ideas to life. As an Autodesk Product Manager, your job will be to identify and articulate the impact of those challenges to help guide a world class product team develop revolutionary customer solutions. Behind every great product at Autodesk, there are people with great empathy for the customer, insight into what is possible and the ability to uncover unarticulated customer needs. Solutions you identify will combine the best of simulation technologies, core Autodesk strengths and essential manufacturing process insights. In this role you will help to drive solution strategy and direction, bridging technical and business worlds as you introduce a disruptive goal driven approach to generating manufacturing options & insights. To be successful in this role, you must be results-driven, an enthusiastic self-starter, a strong collaborative leader and experienced in discrete manufacturing. Responsibilities Take responsibility for the “whole” product/solution experience Clearly articulate market problems & solution objectives to guide design and engineering teams Partner with extend product management teams to ensure a coordinated solution outcome Identify and describe target customers, users and purchase influencers Establish subject matter expertise on assigned projects/solution areas Create solution examples and workflow vignettes Develop core messages describing solution/approach benefits Represent solutions at industry events and to key internal/external audiences Review product deliverables to assure the offering is complete and well documented Evangelize internally and externally and at all levels, including sales, development, end users, executives, media & analysts Track and understand the competitive landscape and evolving market dynamics Initiate market research and market sizing in order to identify/quantify opportunities Plan and execute primary research to identify customer problems Conduct end-user interviews by phone and in person to uncover insights into customer perceptions, problems and workflows Create proposals prioritizing customer problems and illustrating how recommended investments will improve customer satisfaction, enhance Autodesk credibility or increase differentiation Minimum Qualifications BS, MBA/MS preferred Agile/SCRUM development process experience is a plus 5+ years of Product Management/product ownership experience 5+ years Manufacturing industry experience is required Experience defining product requirements Experience developing product positioning, identifying target customers, creating user personas, and developing core product value propositions Experience conducting both primary and secondary market research Hands on experience in manufacturing, fluent in processes and ecosystems Experience authoring and editing video content Excellent communication, organizational and interpersonal skills Enjoys participating in team as well as independently accountable roles Fluent in English, both written and verbal Strong project management, planning, research and analytic skills (analysis & synthesis) Ability to travel approximately 25% Preferred Qualifications Skilled diplomat with high levels of confidence and maturity working within a matrix organization Strong passion for product management Fusion 360, Solidworks, Inventor

THE ROLE As a member of the Autopilot Infrastructure team, you will design, deploy and support a diverse set of backend services and tools that power Autopilot software and processes. The systems you build will have a large impact on Autopilot, from fleet data collection & processing, to Machine Learning workflows, to evaluation and validation of the Autopilot software stack. As an engineer on the Autopilot Infrastructure team, you bring top-notch reliability engineering skills and can contribute to our systems immediately. A strong candidate will have strong background in backend, distributed systems and Linux administration. RESPONSIBILITIES Design, deploy and support backend services and tools that handle fleet data collection, batch processing, training, simulation, and evaluation based on real-world sensor data. Influence architectural decisions with focus on security, scalability, reliability and high performance. Setup and maintain monitoring, metrics & reporting systems for fine-grained observability and actionable alerting. Work closely with the other Autopilot teams to design and implement backend components required for future Autopilot features and processes. REQUIREMENTS MUST Experience with Python. Experience with Linux, networking, storage and virtualization automation with tools like Kubernetes, Terraform, Ansible, Puppet or similar. PREFERRED Experience with AWS services such as EC2/S3/RDS/SQS. In-depth knowledge of container orchestrators and cluster management software. Experience with data stores and indexers like PostgreSQL, ElasticSearch, Redis. Experience with C++, Go.

THE ROLE As a Software QA Engineer, you will be responsible for validating all current and future Autopilot features on the path to full self-driving. You will work very closely with the development team to drive the validation of new and existing Autopilot features, and you will be responsible for reporting and investigating issues that are detected in the field. The work you do will directly impact the experience that our customers around the world have with Autopilot. You will work with teams in Europe, US and Asia. This will require you to be flexible in terms of time. A strong candidate will possess excellent quality assurance skills with a great attention to detail, have prior industry experience testing sensory-based robotics motion, planning and controls features, and have a self-driven attitude and passion to deliver the highest quality software possible. RESPONSIBILITIES Help transition Tesla’s Autopilot to full self-driving by developing & validating features including Autosteer, Navigate on Autopilot, Smart Summon, and more. Support in maintaining existing tooling/automation/simulation code and pitch your own validation requirements to the tooling team on new tooling projects. Perform functional, stress, and performance tests on multiple levels within the system including vehicle software simulation, hardware-in-the-loop automation, and in-vehicle testing. Leverage Tesla’s vast telemetry pipeline to monitor Autopilot performance in the field. Identify effective test strategies for new/existing features and craft test plans accordingly. Analyze issues detected during your tests or reported by others and work closely with firmware developers to fix issues and validate software changes. Review of system requirements for testability and make sure software meets internal requirements. Create data visualizations and metrics. REQUIREMENTS MUST Evidence of solid coding skills in Python or C++. A live coding test will be part of the interview procedure. Very strong English communication skills in conversation and writing. Qualified in Computer Science/Computer Engineering/Software Engineering, Information Systems, Electrical Engineering, Embedded Systems Engineering, or the equivalent in practical experience and evidence of exceptional ability. Several years of experience feature validation in the field of automotive, aerospace, nautical or robotic systems, embedded or system-level software, or consumer electronics hardware/software. Evidence of hands-on experience troubleshooting on both software and hardware level. Valid driver’s license and clean driving record. Outstanding attention to detail. PREFERRED Manual test execution is not considered as relevant experience. Flexibility of traveling to various domestic and international destinations when necessary, to test vehicles on public roads, test tracks and proving grounds. Experience testing ADAS features, and/or experience testing computer vision systems a big plus but not a must. Candidates with strong validation and test-automation experience from other fields of work, are welcomed to apply.

BMW is focusing on the development of automated driving (AD) with great effort. In order to develop and test highly intelligent software for environmental perception, maneuver planning and acting, which finally enables the self-driving capability of an autonomous car, a huge amount of environmental sensor data needs to be collected, hosted and processed in an AD Development Platform (AD Data Center). The processing covers e.g. broad data analytics, reprocessing and KPI evaluation, simulation, virtual endurance run, etc. The BMW AD team in China is fully integreated into the global network of highly educated experts of different domains. In this job you will play a crucial role at the interfaces between BMW AD SW development and IT teams as well as Chinese internet tech-companies and high-tech AD suppliers. Big data, distributed data and RaaS（Reprocessing as a Service) (e.g. MapReduce, HDFS,Airflow,Jenkins,CI\CD etc.,) will be your core focus. Your prime target will be to accelerate the AD product development by analyse FTs requriments and designing big data architectures , tasking the development of related big data applications and managing their deployment to a massive off-site data center BMW just developed in cooperation with a big Chinese Tech-Player. In order to achieve this target you will be exposed to a complex project environment involving both BMW internal and external partners. You will be working with are Docker, Openshift, Kubernetes, Grafana, SPARK etc. switch global environment to *****. Major Responsibilities: -Design, deployment and improvement of distributed, big data systems targeting automated driving applications; -Tasking the development and improvement of off-board backend big data applications and related communication protocols targeting automated driving use cases; -Management and structuring of requirements provided by BMW's AD development teams regarding the big data AD platform; -Steering of BMW China AD development teams and external cooperation partners (big Chinese Tech-Player) regarding data driven development; -Review, monitor and report the status of own project; -Support in the budget planning process for the organization unit; -Research, recommend, design and develop our Big Data Architecture. Ensures system, technical and product architectures are aligned with China data platfrom strategy; Qualifications: -Master/Bachelor’s degree in Computer Science,Electrical/Electronic Engineering, Information Technology or another related field or Equivalent; -Good communication skills, good language skills in English; German language skills optional and appreciated; -Rich experience in big data processing Hadoop/Spark ecosystem applications like Hadoop, Hive, Spark and Kafka preferred; -Solid programming skills, like Java, Scala or Python; -Rich experience in docker and Kubernetes; -Familiar with CI/CD tools, like Jenkins and Ansible; -Substantial knowledge and experience in software development and engineering in (distributed big data) cloud/ compute/ data lake/datacenter systems (MAPR,Openshift,docker etc.,) -Experience with scheduling tools is a plus, like Airflow and Oozie preferred; -Experience with AD data analysis e.g. Lidar, Radar, image/video data and CAN bus data. -Experience in building and maintaining data quality standards and processes; -Strong background working with Linux/UNIX environments; -Strong Shell/Perl/Ruby/Python scripting experience; -Experience with other NoSQL databases is a plus, like Elasticsearch and HBase preferred; -Solid communication skills with ability to communicate sophisticated technical concepts and align on decisions with global and China ***** partners; -Passion to stay on top of the latest happenings in the tech world and an attitude to discuss and bring those into play; -Must have strong hands-on experience in data warehouse ETL design and development, be able to build scalable and complex ETL pipelines for different source data with different format;

1、负责机器人多体动力学模型搭建，包括且不限于整机系统晃动，部件共振等分析； 2、负责建立动力学及静力仿真流程及教程，协助提升其他机械工程师的仿真能力； 3、参与新的机器人/设备开发，负责相关结构的仿真分析及结构优化； 4、进行仿真相关流程及基础知识培训，如网格划分、计算器选型等； 5、针对较为复杂的问题和多样环境，针对公司所想开发的机器人，提出优秀的结构或动力参数方案； 6、按照公司规定的流程制度工作，并及时提出更好的解决方案 任职资格： 1、机械、力学、车辆等相关专业，硕士及以上学历，至少CAE分析5年经验； 2、5年以上多体动力学及静力学的仿真工作经验，精通至少一款三维多体动力学仿真软件（如ANSYS），且可接受使用solidwork simulation进行教程编写； 3、具备很强的数据分析意识、优秀的技术自驱力和业务思考力，擅长使用相关数据分析软件，如maple，matlab等专业软件； 4、扎实的理论基础，精通机械原理、各类传动机构及其设计标准化知识、机械加工工艺知识，要求了解轴承、齿轮、平键、链传动等传动机构的仿真软件，如Kisssoft等； 5、对前公司某领域的技术和业务发展有推动作用，能影响业务决策，有解决中大型复杂项目问题的能力； 6、热爱机械行业，对团队能力提升有过突出贡献，最好有带团队经验； 7、具备开放的心态，优秀的技术自驱力和业务思考力； 8、有仓储物流项目（立库、AGV、传输分拣等）机械、方案相关研发设计经验优先。

职责描述： 1、负责机器人产品结构系统的研发设计工作、文件编制，关键器件选型等； 2、负责机器人三维结构设计、出图、组装、调试； 3、负责机器人的强度校核，优化设计等。 任职要求： 1、本科及以上机械设计、机械自动化相关专业，3年以上工作经验； 2、能独立进行产品结构系统的开发设计工作 2、熟悉电机、减速器、齿轮传动、链条传动、丝杆导轨等； 3、熟悉机加工、钣金表面处理、注塑等工艺，具备降噪、密封、散热、防水设计经验； 4、熟练使用Solidworks、AutoCAD等常用设计软件，掌握solidworks simulation motion或Ansys、Adams静力学仿真和正向逆向动力学求解技能的优先； 5、从事过工业机器人相关结构设计的优先。