Sr Principal DF AI Engineer
JOB SUMMARY
The Principal Engineer is an expert in a particular field of engineering or within a particular sector. This role is experienced with leading design teams through full product development and into production. A Principal Engineer will be expected to demonstrate a level of expertise in a particular area that matches or exceeds the expertise of our customers. In addition, this role consults on system architectures, assesses technical requirements and competencies needed during quoting, and oversees design progressions during product developments.
ESSENTIAL DUTIES AND RESPONSIBILITIES
· Meets the requirements of a Lead Engineer in respect to expertise
· Represents Jabil Engineering Services in technical customer discussions / meetings.
· Works with Project Managers in the quoting process.
· Provides technical input to help identify and solve project risks that may affect overall project plans and schedules.
· Is expected to support the development and utilization of processes for design.
· Mentors all engineering staff.
· Stays abreast of the latest technology and techniques to provide designs that are competitive and cost effective.
· Raises perception of Jabil’s acumen in the industry by authoring or presenting papers, articles, etc.
· Associated with applicable industry trade groups/organizations, maintaining active membership and participation.
· Works with Site Directors to define potential R&D project proposals that will help increase areas of competencies needed.
· Leads the development and implementation of platform and product architectures in collaboration with senior technical staff.
· Guides and oversee the development of system component requirements, interfaces, and specifications necessary to maintain the consistency and integrity of the architectures.
· Manages product design and documentation at a system level.
· Performs independent research and engineering studies.
· Leads remote development teams.
· Effectively consults on multiple projects in parallel.
· Defines objectives of DOE, CPK analysis, Gage R&R studies, and other tools for group projects.
· Develops IP Patents, Technical Publications or White Papers
· May perform other duties and responsibilities as assigned.
JOB QUALIFICATIONS
KNOWLEDGE REQUIREMENTS
LANGUAGE SKILLS
Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public.
MATHEMATICAL SKILLS
Ability to work with mathematical concepts such as probability and statistics, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations.
REASONING ABILITY
Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables. Ability to develop mathematical models of physical reality and solve them, then implement the results.
EDUCATION & EXPERIENCE REQUIREMENTS
· Masters degree in Engineering from an accredited four-year college or university
· Minimum of 12+ years of related experience and/or training
· Minimum of 2 years experience as a Lead Engineer
· Specific requirements as defined by the market sector
· Or an equivalent combination of education, training or experience
AI算法工程师（智能制造方向）
工作职责：
1. 理解工业场景，如订单预测、物料需求预测、设备预测性维护、设备参数趋势预测等。
2. 与研发、生产、品质、采购、计划、物流等各业务部门密切合作，深入挖掘和分析业务数据。
3. 分析和清洗工业数据，运用统计学和机器学习方法构建数学模型，解决实际问题。
4. 实现业务与算法的融合，负责算法模型项目的开发和落地。
岗位要求：
1. 本科及以上学历，数学、统计、计算机等相关专业，3年以上数据挖掘工作经验。
2. 具备扎实的统计学、机器学习和深度学习基础; 能够熟练使用统计学、机器学习和深度学习方法解决业务问题。
3. 熟练掌握至少一种高级编程语言，如Python、Java或C++，熟悉常用算法框架如scikit-learn、Pytorch、Tensorflow和Java ML,熟悉copilot等AI工具。
4. 熟练掌握大数据框架和相关工具，如Spark、Hadoop及其生态工具。
5. 熟练掌握复杂的数据库应用。
6. 具备良好的沟通和自我驱动力，对业务有良好的数据化思维能力，抗压能力强。
应用于设备： 锡膏印刷机、贴片机、回流焊炉、AOI检测设备、AVI、X-RAY测试设备
实现的AI场景: 工艺优化、设备预测性维护、数字孪生、智能排产、需求预测等
AI算法工程师（智能制造方向）
工作职责：
1. 理解工业场景，如订单预测、物料需求预测、设备预测性维护、设备参数趋势预测等。
2. 与研发、生产、品质、采购、计划、物流等各业务部门密切合作，深入挖掘和分析业务数据。
3. 分析和清洗工业数据，运用统计学和机器学习方法构建数学模型，解决实际问题。
4. 实现业务与算法的融合，负责算法模型项目的开发和落地。
岗位要求：
1. 本科及以上学历，数学、统计、计算机等相关专业，3年以上数据挖掘工作经验。
2. 具备扎实的统计学、机器学习和深度学习基础; 能够熟练使用统计学、机器学习和深度学习方法解决业务问题。
3. 熟练掌握至少一种高级编程语言，如Python、Java或C++，熟悉常用算法框架如scikit-learn、Pytorch、Tensorflow和Java ML,熟悉copilot等AI工具。
4. 熟练掌握大数据框架和相关工具，如Spark、Hadoop及其生态工具。
5. 熟练掌握复杂的数据库应用。
6. 具备良好的沟通和自我驱动力，对业务有良好的数据化思维能力，抗压能力强。
应用于设备： 锡膏印刷机、贴片机、回流焊炉、AOI检测设备、AVI、X-RAY测试设备
实现的AI场景: 工艺优化、设备预测性维护、数字孪生、智能排产、需求预测等
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