Electric Aerospace Product Systems Engineer

Responsibilities

• Responsible for power battery safety analysis, identification of relevant system requirements, and completion of the formulation and discussion of power battery related technical standards

• Write the data specification of power battery for airworthiness design, supported the compilation and review of power battery airworthiness forensic documents, and supported the docking work of power battery airworthiness certification

• Responsible for power battery certification foundation determination, conformance method confirmation, conformance verification, conformance data compilation and other work, provide technical advice and guidance, extract and transmit airworthiness requirements and track implementation, ensure that product design, production, test, installation, test flight and other work meet airworthiness requirements

• Responsible for the safety analysis of power battery at all stages, including the following tasks: power battery functional safety hazard analysis FHA, use fault tree FTA for power battery safety analysis PSSA SSA, common cause analysis CCA

• Responsible for the review of power battery at each stage of research and development to ensure the safety level of products

Qualifications

• Bachelor degree or above, major in airworthiness engineering, aeronautical engineering, system engineering or related

• Experience in civil aircraft or system equipment R&D engineering or airworthiness forensics; familiar with the development process, technical standards and industrial specifications of civil aircraft products; experience in 23 or 27 aircraft airworthiness forensics or authorized representative qualification is preferred

• Familiar with CAAC/FAA/EASA related airworthiness regulations, standards and management procedures, familiar with ARP4754A/4761 and DO-178/254/160 is preferred

• Strong learning ability, proficient in English speaking, reading and writing

• Strong project planning and management ability

• Confident and modest, open-minded, rigorous, efficient and diligent, teamwork

• Good English reading and writing ability and paper reading ability

Data Product Manager

Responsibilities

• Responsible for battery data and algorithm product planning, design and product lifecycle management

• Had a deep understanding of battery business, continued business research, planned and designed prototypes of data and algorithm products, and cooperated with business parties and product R&D to implement data products.

• Managed and followed up routine iteration projects of data products to ensure the smooth launch of each version

• Focus and track the development trends of the same industry at home and abroad, and constantly carry out product model innovation and business iteration

Qualifications

• Bachelor’s degree or above, more than 3 years of data or algorithm product experience, with battery industry big data and algorithm product experience is preferred

• Proficient in Axure and other product prototype tools; familiar with Tableau, PowerBI, FineBI, SQL and other data analysis tools is preferred

• Strong ability of product planning, design and project implementation; responsible for designing data analysis, algorithm, data visualization and other related products is preferred

• Familiar with common data analysis and processing methods, have sensitive data awareness, have certain independent data processing ability, familiar with application scenarios of data product solutions in the industry

• Have excellent logical thinking and quick learning ability, good communication skills and document output ability, can quickly promote the implementation of data product projects, have strong cross-team cooperation ability and execution ability

Senior Battery Cell Modeling Scientist - Simulation

Responsibilities

• Responsible for building cell mathematical simulation models (physical models and data-driven models) to predict the performance of Li-ion batteries/Li-metal batteries under various working conditions, including dynamic performance, lifetime decay, electrochemical and thermal response, and safety-related cell behavior

• Design and advance experiments to obtain parameters/data required to build cell models

• Work with cross-functional teams to develop, deploy, test, and maintain models

• The electrochemical/thermal data of the cell under different working conditions are generated by using the certified physical model of the cell to provide data support for the establishment of the data-driven model

• Establish a standardized process for cell physical modeling to reduce the resources/time required for modeling

• Provide documentation related to model and algorithm development

• Work with the battery team to determine and achieve battery performance life goals

Qualifications

• Master’s degree or above, more than 5 years of battery related research/work experience

• Basic knowledge of cell electrochemistry (P2D), thermal, mechanical modeling and simulation. Familiar with electrochemical principle, simulation parameter measurement method and corresponding equipment

• Familiar with various battery-related models/algorithms, and have experience in using cell model software (COMSOL, Ansys, PyBaMM, etc.)

• Experience in building data-driven models (statistical analysis, machine learning, AI)

• Proficient in code development tools, such as Python or Matlab

Battery AI/ML Engineer

Responsibilities

• Build a data-driven model of battery based on electrochemical knowledge and test data

• Develop battery state estimation algorithms, including but not limited to SOC, SOH, SOP

• Develop battery behavior prediction methods, including but not limited to residual life prediction and battery safety prediction

• Provide novel battery management system solutions to optimize battery performance, including but not limited to charging process optimization, discharge capacity optimization and cycle life optimization

• Work with a team to develop, deploy, test and maintain battery algorithms

• Write relevant technical documents

Qualifications

• Master's degree or above, machine learning, AI, and big data related education background

• More than one year battery related working experience, understand battery data

• Have a certain understanding of the traditional battery management system (BMS) algorithm model

• Practical experience in AI and big data battery algorithm

• Experience in battery physical model building (P2D model) and digital twin development is preferred

Department：Avatar

职位：制造大模型算法工程师（Downstream）

职责描述：

1. 与资深制造大模型算法工程师合作，开发基于多模态电池基础大模型的下游应用。
2. 参与开发和优化多个具体应用模型，包括电芯质量评估模型、生产过程优化模型、电芯设计优化模型、电芯性能预测模型以及电芯设计生成式模型。
3. 协助实施和优化数据处理管道，确保数据准确性和一致性，以支持下游应用开发。
4. 应用机器学习和深度学习技术进行模型训练、验证和优化。
5. 分析和处理复杂的数据集，提取关键特征以改进模型性能和应用效果。
6. 协助跨职能团队理解业务需求并制定相应的技术实现方案。
7. 持续跟踪最新技术发展，协助引入前沿方法提升模型应用效果。

任职资格：

1. 计算机科学、电子工程、统计学或相关领域的硕士学位。
2. 至少3年以上在机器学习或AI领域的实际工作经验，有制造业或电池生产相关经验者优先。
3. 熟悉机器学习和深度学习算法，具备多模态数据处理与应用开发经验者优先。
4. 熟练掌握Python、TensorFlow、PyTorch等常用的机器学习框架和工具。
5. 具备处理表格数据、时序数据和图像数据的能力，并能够将这些数据应用于具体的模型开发。
6. 良好的沟通能力和团队协作精神，能有效与跨职能团队合作。
7. 具备良好的问题解决能力和学习新技术的意愿。

Responsibilities:

1. Cooperate with senior AI/ML engineers to develop downstream applications based on multi-mode battery basic large model.
2. Participate in the development and optimization of multiple specific application models, including cell quality assessment model, production process optimization model, cell design optimization model, cell performance prediction model and cell design generative model.
3. Assist in implementing and optimizing data processing pipelines to ensure data accuracy and consistency to support downstream application development.
4. Apply machine learning and deep learning technology for model training, verification and optimization.
5. Analyze and process complex data sets, extract key features to improve model performance and application effect.
6. Assist cross-functional teams to understand business requirements and develop corresponding technical implementation plans.
7. Continue to track the latest technological development and help introduce cutting-edge methods to improve the application effect of the model.

Qualifications:

1. Master's degree in computer science, electrical engineering, statistics or related field.
2. At least 3 years of practical working experience in machine learning or AI field, manufacturing or battery production experience is preferred.
3. Familiar with machine learning and deep learning algorithms, multi-modal data processing and application development experience is preferred.
4. Proficient in Python, TensorFlow, PyTorch and other commonly used machine learning frameworks and tools.
5. Have the ability to process tabular data, time series data and image data, and can apply these data to specific model development.
6. Good communication skills and team spirit, able to effectively work with cross-functional teams.
7. Good problem-solving skills and willingness to learn new technologies.

Senior Battery AI/ML Engineer

Responsibilities

• Build a data-driven model of battery based on electrochemical knowledge and test data

• Develop battery BMS related algorithms, including but not limited to battery state estimation and battery behavior estimation

• Provide novel battery management system solutions to optimize battery performance, including but not limited to charging process optimization, discharge capacity optimization and cycle life optimization

• Work with a team to develop, deploy, test and maintain battery algorithms

• Cooperate with the team to design the battery pack according to the model requirements, including the number of sensors and deployment location, etc

• Responsible for the overall framework design of battery algorithm deployment

Qualifications

• Master degree or above, machine learning, AI, and big data related education background

• More than five years of battery related work experience, familiar with battery pack design and data

• Familiar with various battery related models/algorithms

• Experience in battery management system (BMS) algorithm development

• Practical experience based on AI, big data battery algorithm, and cloud BMS

Senior Pack Modeling Scientist

Responsibilities

• Responsible for the collection, processing and analysis of battery pack data and the design, development, verification and delivery of battery cloud platform algorithm

• Cooperate with the team to develop the cell algorithm, and be responsible for the migration from the cell algorithm to the battery pack algorithm

• Cooperate with the team to design the battery pack according to the model requirements, including the number of sensors and deployment location, etc

• Participated in the design of BMS, responsible for the overall framework design of battery algorithm deployment, and realized distributed algorithm deployment

• Designed and supervised battery pack testing, realized algorithm development and verification with limited resources

• Responsible for deploying the digital twin model of battery packs in the cloud

Qualifications

• More than five years of battery related work experience, familiar with battery pack design, testing and data

• Familiar with various battery related models/algorithms

• Experience in battery management system (BMS) algorithm development (SOC, SOH, SOP, SOE, fault detection, etc.)

• Practical experience based on AI, big data battery algorithm, and cloud BMS

• Have good communication skills and the ability to collaborate across departments

• Good English communication skills (listening, speaking, reading and writing) are preferred

BMS BSW Software Engineer

Responsibilities

• Responsible for BMS BSW development, testing and maintenance.
• Responsible for configuration and debugging of BMS AUTOSAR BSW.
• Responsible for the BMS bootloader and complex drivers' development.
• Responsible for BMS CAN Communication, network management and UDS diagnostic development.
• Responsible for BMS XCP and J1939 protocol development.

Qualifications

• Bachelor’s degree or above, major in vehicle engineering, computer, electronic and electrical, automation, etc.
• Familiar with C language, with more than three years of experience in BSW development, familiar with NXP and Infineon chips.
• Familiar with AUTOSAR software architecture and related specifications, with AUTOSAR (Classic) software development experience, able to use the mainstream AUTOSAR tools for ASW, BSW, MCAL software development is preferred.
• Familiar with AUTOSAR basic software development and configuration.
• Familiar with the working mechanism of Bootloader, with relevant development experience is preferred.
• Familiar with automotive protocols (CAN/J1939/XCP) and diagnostic protocols;
• Familiar with functional safety ISO26262, familiar with multi-core distribution and data protection.

BMS BSW Software Engineer

Responsibilities

• Responsible for BMS BSW development, testing and maintenance
• Responsible for configuration and debugging of BMS AUTOSAR BSW
• Responsible for the BMS bootloader and complex drivers development
• Responsible for BMS CAN Communication, network management and UDS diagnostic development
• Responsible for BMS XCP and J1939 protocol development

Qualifications

• Bachelor’s degree or above, major in vehicle engineering, computer, electronic and electrical, automation, etc.
• Familiar with C language, with more than three years of experience in BSW development, familiar with NXP and Infineon chips.
• Familiar with AUTOSAR software architecture and related specifications, with AUTOSAR (Classic) software development experience, able to use the mainstream AUTOSAR tools for ASW, BSW, MCAL software development is preferred.
• Familiar with AUTOSAR basic software development and configuration.
• Familiar with the working mechanism of Bootloader, with relevant development experience is preferred.
• Familiar with automotive protocols (CAN/J1939/XCP) and diagnostic protocols
• Familiar with functional safety ISO26262, familiar with multi-core distribution and data protection.

BMS Application Software Engineer

Responsibilities

• Responsible for APP software development and verification work of BMS and write the related documentations
• Analyst software requirements and software design, also module test and software integrate
• Develop and verify the function modules of BMS
• Close communication with project team
• Other job assigned by Department Manager

Qualifications

• Bachelor's degree or above in software engineering, Computer Science or related field
• 5 years' embedded software development experience, 3 year's lithium battery BMS development experience
• Good at model based developing and C language for embedded coder
• Familiar with SOC, SOH, SOE, SOF, insulation detection
• AutoSar , ISO26262 experience is much preferred
• Good English ability