岗位职责： 1.Develop validation test plans, methodology, and tools for post-silicon validation. 2.Debugging and troubleshooting system-level issues/silicon debug occurred in test environment. cooperated with IC designers. 3.Develop schematic of bench test board. 4.Develop automation test scripts. 5.Analyze and write report for root cause issues 岗位要求： 1.Bachelor’s degree or above on Electronics/Circuit/System, Master preferred 2.Knowledge and Skills on IC/System testing and validation. 3.Good experience with lab equipment such as oscilloscopes. 4.Ability to program in C, Verilog, and scripting languages Python. 5.Read and understand bench test board PCB Layout. 6.Good teamwork spirit.

岗位职责： 1.Develop validation test plans, methodology, and tools for post-silicon validation. 2.Debugging and troubleshooting system-level issues/silicon debug occurred in test environment. cooperated with IC designers. 3.Develop schematic of bench test board. 4.Develop automation test scripts. 5.Analyze and write report for root cause issues 岗位要求： 1.Master’s degree or above on Electronics/Circuit/System. 2.Knowledge and Skills on IC/System testing and validation. 3.Good experience with lab equipment such as oscilloscopes. 4.Ability to program in C, Verilog, and scripting languages Python. 5.Read and understand bench test board PCB Layout. 6.Good teamwork spirit.

Note: This position is being recruited by Intellisn on behalf of bitHuman, and the role is unrelated to Intellisn’s business operations. 注意： 此职位由Intellisn代表bitHuman招聘，与Intellisn的业务运营无关。 About Us: bitHuman is a US-based AI company founded in 2023 by seasoned tech entrepreneur Steve Gu. With a rich history in successful tech startups and a deep technical background, Steve has positioned bitHuman at the forefront of developing lifelike AI agents for enterprise use. Under Steve's leadership, alongside a top-tier team of technologists and product developers, bitHuman is dedicated to revolutionizing the way businesses interact with digital environments. Our mission is to enhance human-machine interactions through advanced, human-centric AI technology, driving innovation and optimization in business processes. Role Summary: As a Sr. Software Development Engineer, you will join an innovative project team led and envisioned by Steve Gu himself. You will be responsible for building and maintaining the backend infrastructure that supports our AI-driven platforms, developing scalable and stable software solutions using technologies like Python. In this role, you will have the opportunity to directly influence the company's technical direction and product development, working alongside top talents in the industry to create impactful AI applications. Key Responsibilities: - Develop and maintain efficient, reusable, and reliable Python code. - Implement server-side logic to ensure high performance and responsiveness to front-end requests. - Collaborate with the DevOps team on application deployment and management using Docker and Kubernetes. - Work closely with cross-functional teams to translate business requirements into technical specifications. - Mentor junior developers and promote coding best practices. Requirements: - 5+ years of experience in backend software engineering or a similar role. - Strong proficiency in Python, with a solid understanding of its ecosystems. - Familiarity with Docker, Kubernetes, and other containerization and orchestration tools. - Experience with RESTful APIs and server-side logic. - Ability to read and understand technical documentation in English, with basic oral communication skills in English. - Self-motivated and capable of working independently with minimal supervision. - Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment. Why Join bitHuman? - 100% Remote Work: Enjoy the flexibility of working from anywhere, setting your own schedule to optimize productivity. - Innovative Projects: Engage with cutting-edge technology that is shaping the future of AI in business. - Career Growth: Benefit from a commitment to professional development and opportunities for advancement. Interested candidates are encouraged to apply by submitting a resume and a cover letter detailing their qualifications and interest in the role. Join us at bitHuman, where together we are building the future of AI-enhanced business interactions.

工作内容： 1、协助上级做北京全市的固网数据统计、分析。 2、日常查询分析，具体包括问题清单的输出、问题根源的挖掘、解决方案的探讨、解决效果的跟踪。提升数据健康性合规性； 3、有良好的故障定位和数据分析意识； 岗位要求 （1）通信工程或计算机通信专业，本科及以上学历。 （2）熟悉excel表格，能够使用vlookup函数、数据透视表功能；熟练使用python. （3）熟悉中国移动家宽网络结构，熟悉数据通信的基本原理； （4）负责现场客户服务、项目管理，协调内外部资源高效达成客户满意度和项目目标； （5）有较强的客户服务意识、目标意识、责任意识，较强的沟通表达、抗压能力。 （6）具备较强的学习能力和团队合作意识；

Base Location：Shanghai or Beijing Responsibilities: This position is a Junior QA. The responsibility is to participate a QA team for the following areas: § Execute test plan for web, mobile, Java-based backend REST API services, and HTML5-based WeChat app. § Monitor and execute test passes before release. § Contribute to the measurement of development process health, product quality, performance. Requirements: Profession § Bachelor degree or above in Computer Science § 2 years or above industry experience in digital / Internet business Skill set: § Must: Deep knowledge of common test tools, including but not limited to JMeter, Selenium, Appium. § Must: Deep knowledge of test automation, including web, App, WeChat mini App, API. § Must: Design and organize test plan. Planning timeline, assignment, test case coverage and progress. Can create proper reports to cover contents to partner and business owners to explain execution progress. § Must: Familiar with at least one programming language and its common design patterns: Java or Python. § Must: Hands-on experience in at least one test framework like JUnit, TestNG, PyTest. § Good to have: Knowledge of Spring Boot, Spring Cloud technology and corresponding coding patterns. § Good to have: Knowledge of HTML5 WeChat programming. § Good to have: Understand general concept of security concept and test practice (fuzzying, SQL ingestion, buffer overrun, etc.) § Good to have: Familiar with Amazon AWS cloud solution. Require knowledge of EC2 (virtual machines). Knowledge of Cloud watch is a great plus. § Good to have: General concept of high availability like primary-backup database, across-DC multiple instances, etc. § Good to have: Familiar with other cloud solutions is a great plus: Aliyun, Azure, Huawei Cloud. § Good to have: Familiar of CI/CD pipeline such as GitLab, Jenkins, GitHub or Azure Develops. Experience of GitLab is a great plus. Project management and execution: § Good to have: Knowledge of Agile development process (esp. Scrum development model) § General experience of tracking project with at least one efficient system like Jira/Confluence. § Good to have: Experience of working in vehicle digital related industry is a great plus. § Good to have: Experience of communicating with external customers or partners is a great plus. § Good to have: Good English speaking skill

美国爱迪生（Edison）软件公司成立于2012年，总部位于美国，2021年Yipitdata并购了Edison，目前是E轮融资的独角兽企业，估值10亿美金+。公司正处于快速发展期，我们在美国，新加坡，中国香港，上海，北京，广州成立了分公司。 福利待遇： 1. 美国E轮外企,周末双休不加班,无996,极大的弹性和自由空间,扁平化管理。 2. 无天数限制的年假制度,育儿假随时休,入职即可享有。 3. 六险一金,高端商业保险保障你和家人的健康。补充公积金,缴纳比例12%。 4. 国际化团队的工作环境和氛围,培训机会多,我们在Glassdoor上有令人惊叹的评价，是Inc最佳工作场所之一。 5. 每月有听音乐,健身,自我提升培训等福利。 6. 晋升通畅，每个月都有员工晋升。 QA Software Engineer As a QA Software Engineer, you will work with a top-notch engineering team and data team to perform quality control from 0 to 1, including demand analysis, testing schedule planning, design and execute the testing, bug tracking, and quality analysis. 1. Identify improvement areas in the QA process, improve the team efficiency and product quality. 2. Plan the QA schedule, design application examples and execute, bug tracking, to ensure the product launch. 3. Improve QA plan, document, and formulate a project database. 4. Follow up user feedback together with the Engineering team, to solve the user problems in a timely manner. 5. Design simple automated testing projects, including sample organizing, and simple coding. As long as you’ve worked with modern QA tools, we’re positive that you will learn our technology stack: 1. Professional QA technologies and SOPs. 2. QA related Python. 3. Stress Test Tools. 4. It will be a plus if you know SQL, DOCKER, simple Linux, Pytest. Requirements: 1. BS in Computer Science or EE degree, or related majors. 2. Required to have 1+ yrs of working experience in QA-related functions Good problem-solving & debugging skills. Understanding of engineering best practices & agile development methodology. 3. Good at summarizing and continuously optimizing the test process. It is possible to discover repeated test cases suitable for automatic tests from daily work, and (or instruct other engineers) write scripts to improve efficiency; it can summarize the causes of problems and prevent the possibility of problems in advance. 4. Efficient cross-group coordination capabilities, including pushing development engineers to avoid more defects in advance, discovering design details that are missing in products, etc. 5. Proficiency in at least one of the following languages: Java/Python (Automated Testing)Ability to write test scripts, perform certain performance stress tests, and run a large number of use cases to improve test coverage 软件测试工程师 作为一个测试工程师，你将加入国际化工作团队，与广州data team研发团队一起把控产品研发质量，参与产品测试全流程，包括需求分析，制定测试计划，设计和执行测试用例，缺陷跟踪和质量分析等。 1. 对研发和测试流程规范提出改进意见，提升团队研发和测试效率，更全面的把控产品风险。 2. 制定测试计划，设计测试用例并执行，提交bug，并跟进修复和回归，保证版本按时正常上线。 3. 优化测试用例和方案，整理相关文档，汇总到项目文档库。鼓励将测试经验和案例分享，共同形成专业知识库。 4. 跟踪线上缺陷和用户问题反馈，与研发一起快速解决用户问题. 5. 能参与简单的自动化测试开发工作，包括自动化测试用例设计，简单编码等。 如果你有使用测试工具的经验，我们有信心你可以快速学会我们的测试技术工具： 1. 专业测试技术和测试，和规范的开发测试流程 2. 测试开发需要的Python相关技术 3. 压测工具使用和压力测试的经验 4. 有此类经验者优先：SQL, DOCKER, Linux 简单命令，Pytest 岗位要求： 1年以上工作经验。工科、计算机或其他相关专业本科以上学历，具备一定的计算机基础知识； 具有良好的沟通能力和团队合作精神，快速的业务学习能力和优秀的逻辑思维能力; 有较强的自我驱动，做事积极主动，对效率有一定追求，对问题能推动解决; 做事耐心, 对工作认真负责； 善于总结，不断优化测试流程。可以有效的提高组内效率；可以总结问题的发生原因，提前预防发生问题的可能性； 高效的跨组协调能力，包括推动开发工程师提前避免更多的缺陷，发现产品遗漏的设计细节等等； 需要熟悉Java/ython等至少一种编程语言，有简单的开发经验, 具有编写自动化脚本的能力; environment focused on ownership, respect, and trust.

The Role The Quality Assurance (QA) Engineer is responsible to provide successful validation and verification of Applications in the non-production environments before moving them to production. The QA Engineer has to develop and execute exploratory tests as well as automated tests in order to ensure product quality. Looking for a highly motivated individual who is comfortable with Agile environment. This Role requires a self-starter with the ability to manage day to day tasks. Looking for someone to conduct quality assurance activities for both manual / automated test and exploratory validation of application to assess usability and stability, and work with Quality Assurance (QA) Leads in tracking of testing progress. Responsibilities • Responsible to work independently on project tracks assigned to the resources. • Responsible to develop, present Test plans and test cases. • Responsible for preparation of test data for Testing. • The ability to work to aggressive deadlines. • Responsible for Testing Mobile apps. • Execute functional system and Integration testing, regression testing of Website, ERP, Customer Experiences and packages Application (MFG Experience is preferred). • Develop Automated Test suits for Applications. • Verify the quality of data; ensure data coming in matches existing data, verify functionality and data output against requirements. • Log, manage, and retest defects in bug tracking system. • Report testing status, milestones and issues to project stakeholders. • Keen attention to detail and be exceptionally good at identifying inconsistencies and flaws. • Support off-hours launch and monitoring of systems with IT teams as needed. • Update and use Confluence page extensively for open knowledge-sharing. Requirements Must Qualifications • BA/BS in Computer Science, IT, or related field. • 3-5 years professional work experience in Quality Assurance/Analyst position. • Website/Mobile Testing, ERP or packaged or Auto Service application testing experience preferred. • Worked in Projects implemented in Agile Methodology. • Solid professional knowledge of web protocols, web applications and client-server technology. • Experience in Data conversion testing. • Testing Interfaces and Reports. • Strong Analytical skills combined with a detailed oriented mindset. • Experience in System Testing, Regression Testing, Functional Testing and performance Testing. • Experience in Bug Tracking tools such as JIRA & Test Management Tool like Zephyr & Test Link. • Experience with automated end-to-end testing using open source test tools like Selenium, Coded UI and Python. • Ability to work in a fast paced, dynamic and team oriented environment. • Experience in setting up and maintaining QA Environment and Test Data Management. • Good SQL Experience querying and extracting data from databases. • Basic programming skills (e.g.: Java, Visual Basic, C/C#/C++, XML, etc.). • Incredible attention to detail and to be proactive. • Strong written and verbal communication skills; works effectively independently and in teams. • Extremely flexible and willing to switch tasks based on project priorities. Preferred Qualifications • Experience with LAMP stack and Drupal a plus. • Experience in ETL and ESB Testing will be added Advantage. • Experience in Testing Mobile Apps. • Experience in SOA will be added advantage. • Coding skills in Python & one or more of the following languages: Java, PHP, JavaScript or Ruby. • Experience in VSTS, TFS & Git on Stash. • Test frameworks such as Selenium, JUnit, TestNG or continuous integration systems. • Strong knowledge of Selenium/Webdriver. • Strong Understanding of REST and demonstrated experience with web services APIs. • Basic knowledge of open source tools such as curl, TestNG, Junit. • Previous experience with Unit Testing, Continuous Integration Testing (e.g., Jenkins, Hudson) or Delivery.

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.

BMW is driving the development of automated driving vehicles as one of its main areas of focus. At the core of such vehicles is software as the vehicle's "brain". The BMW Automated Driving Team, China, is part of the BMW automated driving software development network, and thus requires skillfull and versatile software engineers and project managers. Responsibilities: -Analysis of the defects of the Automated Driving (AD) and Advanced Driver Asistance System (ADAS) in every development cycle, to identify root causes and direction of fixes. -Construction and maintainance of the AD system effect-chain knowledge. -Development of toolings for the defects analysis. Trouble-shooting the effect-chain during the Integration of the vehicle onboard software into real testing vehicle and virtual testing facilitiy, to provide a testable system in every development iteration. Qualifications: -Master in Computer Science, SW Engineering or equivalent. -Substantial knowledge and experience in modern software development and engineering in embedded systems or backend systems with mainly C++, and partially Python. -Familiar with project lifecycles and software processes (both functional and non-functional requirement analysis, system design / architecture, implementation, configuration/build management, testing/integration, user acceptance testing, roll-out, maintenance). -Good understanding of software-/system architecture and system design. -Usage, deployment and improvement of distributed, big data systems targeting automated driving applications. -Good knowledge and experience in data analizing pipline/systems development and deployment with mainly spark, airflow, grafana, and influxDB. -Knowledge about vehicle bus network, sensor and other electronic systems in a vehicle. -Capable of working in a dynamic and challenging environment. Good communication skills, good language skills in Chinese and English (written and oral); German language skills optional and appreciated. -1-3 Years Software development experience. -1-3 Years Automated driving/ driver assistance/ Robotics experience.

1.用好python.熟悉机器学习，深度学习，迁移学习，强化学习。熟悉基本的算法，机器学习常用算法，有自己擅长的领域。tensorflow.pytorch，caffe.solodity.至少要会使用一种。2主要实践方向，对二手房数据的机器学习推荐系统，广告系统，二手房区块链公链的实现，其他研究方向，人工智能下:脑机接口，癌症的诊断和基因治疗，量化交易。.3. 利用数据挖掘、建模分析的理论和方法解决具体业务需求问题，提升业务运转能力； 4、对互联网大数据挖掘、数据分析有一定的研究，并且拥有非常强的自我学习能力、自我激励能力。

专业要求: 计算机、人工智能、自动化、软件工程、电子工程、机器人等相关专业 各算法岗岗位要求： 【人脸识别】有人脸识别相关的研究经验，在人脸识别相关竞赛中取得过比较好的成绩，工程能力强，对大规模分布式训练有深入的了解，或发表过相关学术论文。 【行人ReID】要求有相关研究背景，熟悉PCB、MGN等经典ReID工作，在ReID相关竞赛中取得过比较好的成绩，工程能力强，或发表过相关学术论文。 【人体姿态估计】对主流的Top down和Bottom up的人体姿态Human pose.估计算法有深入的了解，有具体研发经验，在相关数据集或比赛中取得过领先的成绩。 【目标检测】对主流目标检测算法非常熟悉，如Faster-RCNN, Mask-RCNN, Cascade RCNN,SSD, Deformable Conv等，在voc/coco等数据集上取得过较好的成绩，或发表过学术论文。 【异常检测】有通用异常检测的研究经验，对 Isolation Forest、Feature Bagging和Auto-Encoder等主流异常检测方法有深入研究，在相关数据集或比赛中取得过较好的成绩。 【3D视觉】有三维视觉相关知识和基础，对于与环境几何建模、三维物体识别、三维语义分割、点云处理等方面有深入研究和实践经验，能够将理论知识运动到实际工程问题中。 【SLAM】：熟练掌握工业机器人基础框架和知识，如DH参数，IK,FK，四元数等；熟悉常见工业机器人轨迹规划算法，至少掌握一种运动规划算法；编程和算法基本功扎实，熟练掌握C++，以及至少一门脚本语言如Python.；熟悉ROS系统，可熟练使用仿真软件者如gazebo等.优先。 【机器人控制】 熟练掌握工业机器人基础框架和知识，如DH参数，IK，FK，四元数等；熟悉常见工业机器人轨迹规划算法，至少掌握一种运动规划算法；编程和算法基本功扎实，熟练掌握C++，以及至少一门脚本语言如Python；熟悉ROS系统，可熟练使用仿真软件者如gazebo等优先。 若为实习： 实习时长需满足至少3个月，6个月以上优先考虑。

Expectation: Deeply interested in how NLU works, and applied to real world problems. Qualification: 1. Strong math background (linear algebra, statistics), solid machine learning background. 2. The ability to understand/produce documents in English, including research papers. 3. Proficient in Python. For example, finished reading in fluent python. 4. Familiar with at least one deep learning framework: tf2.0 or pytorch. (tensorflow 2.0 is preferred). 5. Familiar with state of art nlu models like LSTM and BERT, had interest in keeping track of the new development. 6. Understand the importance the engineering nature of ML, and have knowledge in TFX, and underlying infrastructure like kubeflow/airflow, including flink/spark. 7. Understand language other than Chinese and English is a big plus. What we provide: 1. Work with team with ambitious goal: we try to build an accessible chatbot building platform for everyone that marry the sound engineering principle with cut edge NLU research. 2. Work with a learning team: we believe to make an impact, one need to change the status quo. We consistently absorb new ideas in both research and engineering to make things better. 3. The opportunity to join the team after internship.

Expectation: Deeply interested in how NLU works, and applied to real world problems. Qualification: 1. Strong math background (linear algebra, statistics), solid machine learning background. 2. The ability to understand/produce documents in English, including research papers. 3. Proficient in Python. For example, finished reading in fluent python. 4. Familiar with at least one deep learning framework: tf2.0 or pytorch. (tensorflow 2.0 is preferred). 5. Familiar with state of art nlu models like LSTM and BERT, had interest in keeping track of the new development. 6. Understand the importance the engineering nature of ML, and have knowledge in TFX, and underlying infrastructure like kubeflow/airflow, including flink/spark. 7. Understand language other than Chinese and English is a big plus. What we provide: 1. Work with team with ambitious goal: we try to build an accessible chatbot building platform for everyone that marry the sound engineering principle with cut edge NLU research. 2. Work with a learning team: we believe to make an impact, one need to change the status quo. We consistently absorb new ideas in both research and engineering to make things better. 3. The opportunity to join the team after internship.

Software Quality Engineer 测试开发工程师 1.负责搭建以及维护测试框架以及测试工具的开发 2.熟悉UI/接口测试框架搭建，精通python/Java语言 3.英文可开口自我介绍 Responsibility: • Build up and maintain the automation framework for PPCN QE team • Work with QE, Dev and other stakeholders to set up CI/CD pipeline • Collaborate with other QE team members and devs to increase automation coverage, stability & robust. • Develop other QE tools which can help to create simplicity and efficiency to the team. Requirement: • Excellent understanding of computer science fundamentals, algorithms and data structures. • Has experience on building up automation framework from 0 to 1. Experience on pytest or playwright will be preferred. • Excellent coding capabilities with Python. • Excellent understanding of backend/middleware like restful, GRPC, database etc., experience with rabbitmq and Redis. • BS/MS in CS or related field. • Motivated & self-driven. • Good communication skill.

You will: ● Apply your extensive deep learning knowledge to create efficient and effective solutions for practical problems. ● Establishing and managing stable training and experiment pipelines to ensure accuracy and consistency in model results. ● Engineer to put your research into practice. ● Take ownership of systems that directly impact our business. You Are: ● Thinking statistically: You can model any data you are given and implement a toolbox full of algorithms to make statistically-informed predictions and recommendations. ● A maker: You have a hacker’s spirit. You can write clean and maintainable code to get the job done. You are not afraid of “rolling your own” tools when you can’t find the solution that you need. ● A good communicator: You are good at written and verbal communication. You document your work in clear and concise ways. You actively share your expertise with others and remain receptive to novel concepts, allowing us to keep up with the pace of industry demands. You have: ● BS or MS in Computer Science or Applied Mathematics. ● 3+ years of experience with Python. ● Expertise in PyTorch. Familiarity with PyTorch Lightning is a plus. ● Demonstrable ability to develop robust and effective deep learning models. ● Exceptional software engineering skills. ● A strong background in Computer Vision (CV). ○ For the CV track, you should possess expertise in modern architectures such as ConvNext and ViT, as well as comprehensive knowledge of diverse downstream applications. Prior experience using self-supervised learning techniques would be a valuable asset. ○ An added advantage would be having prior experience in multimodal models such as CLIP or generative models such as diffusion models. ● Experience in the e-commerce industry is preferred. ● A strong presence on Kaggle or GitHub as a significant advantage. (外资企业，全国招聘，远程居家办公模式）