Total 36 electronic engineer job vacancies in Transportation / Logistics category in d22 jurong jurong island tuas

Job Description:

- Prepare weekly reports on vehicle repair status.

- Assist in writing meeting minutes to track outstanding issues.

- Conduct team briefings before starting work.

- Coordinate and manage team assignments and vehicle parking allocation.

- Plan and monitor vehicle sequencing and status for operational tasks.

- Provide documentation support to the Operations Leader for work-related needs.

Job Requirements:

- Degree in Engineering (Mechanical, Electrical, Hydraulic, Automotive, Electrical & Electronics, Mechatronics) or a Diploma in a related field with 5 years of relevant industry experience.

- Strong team player.

- Ability to lead a team effectively.

Job Description:

• Day-to-day customer service and procurement activities - Responsible for managing daily customer service operations and manage entire supply chain process from procurement to distribution to ensure timely and cost-effective delivery of products.
• Demand planning - Work closely with sales and marketing teams to forecast demand accurately.
• Production Planning - Collaborate with Operations team to develop production schedules and optimize the production planning that align with demand forecasts.
• Inventory Management - Work within the team to implement robust inventory control measures to maintain optimal stock levels. Monitor and analyze inventory turnover, taking proactive measures to prevent shortages or overstock situations.
• Logistics Coordination - Coordinate logistics activities, including transportation, shipping, and customs clearance. Optimize transportation routes and methods to reduce costs and enhance efficiency.
• Relationship Management - Build and maintain strong relationships with local and overseas suppliers and customers. Develop good vendor management with warehouse personnel for effective inventory control.
• Licensing - Manage all license requirements for Import/Export & transportation with compliance to Government Authority of Singapore.
• Collaboration and Communication - Work with product management team to review product specification/technical data. Collaborate with quality control teams to ensure that all products meet industry standards and customer specifications.
• Perform any other ad hoc tasks assigned by Team leader / Management.

Job Requirements:

• Degree in Chemistry / Chemical Engineering or any Engineering field.
• Minimum of 2 Years of working experience in a related field.
• Preferably with related experience in Chemical Distribution/ Semiconductor industries.
• Excellent written and spoken communication skills in English and ideally proficient in Chinese (in order to negotiate and handle queries with overseas Mandarin speaking suppliers/vendors in regards with the import & export shipment arrangement matters).
• Hands on experience using SAP/Navision system, strong in Microsoft Office, especially Excel would be an advantage.
• Experience in ISO9001, ISO14001 and ISO 45001.
• Ability to prioritize workload, make systematic decisions under pressure.
• Possess an entrepreneurial ‘can do’ mindset, able to work in a start-up environment.
• Possess excellent interpersonal skills, strong problem-solving skills and sense of ownership.
• Willing to travel if required.

Job Description:

- Prepare weekly reports on vehicle repair status.

- Assist in writing meeting minutes to track outstanding issues.

- Conduct team briefings before starting work.

- Coordinate and manage team assignments and vehicle parking allocation.

- Plan and monitor vehicle sequencing and status for operational tasks.

- Provide documentation support to the Operations Leader for work-related needs.

Job Requirements:

- Degree in Engineering (Mechanical, Electrical, Hydraulic, Automotive, Electrical & Electronics, Mechatronics) or a Diploma in a related field with 5 years of relevant industry experience.

- Strong team player.

- Ability to lead a team effectively.

• 5 days, Tuas, Transport provided
• Hybrid mode arrangement
• Lots of learning opportunties
• $4000 - $4200 basic, AWS
• Allowances, performance bonus

Administrative Support:

• Manage customer orders and data in ERP systems.
• Ensure timely reporting to stakeholders and maintain accurate records.

Sales and Customer Support:

• Provide solutions and technical advice to customers.
• Evaluate customer requirements and ensure compliance with company terms and conditions.
• Coordinate cost estimations and timelines for deliveries.

Order Management:

• Oversee order handling, ensuring timely delivery and accurate reporting.
• Coordinate with supply chain teams for logistics and transportation.

Teamwork and Innovation:

• Identify process improvements and support the development of innovative solutions.
• Foster collaboration among departments.

Quality Control:

• Inspect products to meet quality standards and customer expectations.

Requirements:

• Possess a Diploma in Engineering or Supply Chain Management
• MInimum 2-3 years of relevant experience in Engineering, Marine/Oil & gas environment
• Strong knowledge of parts sourcing, order processing, and client engagement.
• Ability to manage delivery and invoicing efficiently.
• Responsible and with positive attitude

Interested applicants, please send your resume to [email protected]

MOM License 16C7883 | Reg No. R1109186

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit comp.
• lex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R).
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R)
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R).
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

• 5 days, Jurong, Transport provided
• $4200 - $5000 basic salary, AWS, performance bonus
• Medical/dental benefits

Responsibilities:

• Review engineering drawings and execute experiments, calculations, and statistical controls for new products/processes.
• Drive engineering activities to enhance manufacturing and supply chain operations.
• Ensure manufacturing processes meet quality, cost, and delivery targets.
• Troubleshoot and redesign production processes for cleanroom and non-cleanroom operations.
• Support qualification and setup of new materials, recipes, and system applications.
• Identify and implement process improvements for future requirements.
• Conduct equipment and material validations (IQ, OQ, PQ methodology).
• Source suppliers, qualify specifications, and estimate costs for projects.
• Support new business projects and implement technologies.
• Train and build technical capabilities within the department.

Requirements:

• Diploma or Degree in Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Electrical Engineering, Materials Science, or Process Engineering.
• Minimum 1 year of experience in Process Engineering relating to Supply Chain
• Knowledge of manufacturing systems (e.g., CAD, ERP) and workflow simulation tools.
• Experience with statistical process control and applying ISO standards (ISO13485, GDPMS).
• Understanding of end-to-end processes in manufacturing and supply chain engineering.
• Strong project management and presentation skills.
• Self-motivated, resourceful, and analytical.

Interested applicants, please send your resume to [email protected]

MOM License 16C7883 | Reg No. R1109186

Brief Summary

• Basic $4000 + AWS + VB + Medical benefits
• 5 Days : 8.30am-5.30pm
• Working Location @ West
• AL 14 Days, Birthday Leave, Annual health check-up, Customized Gift for holiday season
• Required to attend a 2-week training session in Shanghai HQ
• New Headcounts

Responsibilities

• Assembly, testing, and maintenance of mechanical, electronic, or automated equipment.
• Adhere to operational protocols to ensure quality control and proper functionality of equipment.
• Collaborate with engineers to diagnose malfunctions and enhance system performance.
• Assist in documenting testing procedures and results.
• Maintain a safe and organized work environment, complying with workplace safety standards.
• Conduct wafer testing on the wafer platform according to the schedule.
• Perform die testing on the die platform as scheduled.
• Execute die sorting on the sorting platform based on the timeline provided.
• Uphold and manage 6S standards within the Fab environment.

Requirements:

• Min 1 year relevant experience
• Proficiency in handling mechanical, electronic, or automated equipment.
• Singaporean only

For consideration, kindly submit your CV by clicking “APPLY Now” or email to [email protected]

**Only shortlisted candidate would be notified**

EA Reg. No: R1988238

We are looking for an Assistant Principal Engineer to join our ILS O&S Team. In this position, you will be responsible for in-service vehicle matters, item obsolescence and vehicle upgrading proposal. You will work closely with the Design and O&S team as well as the End Users in order to maintain the availability of the in-service vehicles.

Job Responsibilities:

• Meet up of End Users to understand their issues and matters on hand.
• Work with different departments, local vendors, overseas OEMS to submit design/pricing proposal.
• Monitor progress of outstanding issues and/or submitted proposals.
• Monitor allocated budget for the given year.

Job Requirements

• Degree in Mechanical Engineering.
• Knowledge and/or experience in mechanical design. Proposal writing and budgeting experience will be an advantage
• Self-motivated and able to work systematically
• Team player with good communication and presentation skill
• Singaporeans only

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R).
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R)
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit comp.
• lex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R).
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

We are looking for an Assistant Principal Engineer to join our ILS O&S Team. In this position, you will be responsible for in-service vehicle matters, item obsolescence and vehicle upgrading proposal. You will work closely with the Design and O&S team as well as the End Users in order to maintain the availability of the in-service vehicles.

Job Responsibilities:

• Meet up of End Users to understand their issues and matters on hand.
• Work with different departments, local vendors, overseas OEMS to submit design/pricing proposal.
• Monitor progress of outstanding issues and/or submitted proposals.
• Monitor allocated budget for the given year.

Job Requirements

• Degree in Mechanical Engineering.
• Knowledge and/or experience in mechanical design. Proposal writing and budgeting experience will be an advantage
• Self-motivated and able to work systematically
• Team player with good communication and presentation skill
• Singaporeans only

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R)
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit comp
• lex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R)
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R)
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job summary:

We are seeking highly talented Software Engineer with experiences in developing network/communication middleware for embedded system or automotive ECU system is preferable.

Duties/ Responsibilities:

• Innovate, create and invent network/security technologies (including product, platform, module and function) for rapidly changing automotive products to enable the megatrend of ACES (Autonomous Connected Electric Shared).
• Design and develop protocol stacks for Vehicle Network/Communication functions or systems (including but not limited to Ethernet, CAN, LIN, FlexRay, Optical related.)
• Develop software middleware for communication such as DoIP and SOME/IP stack based ecosystem.
• Lead or participate in product software architecture definition and design which meet automotive OEM requirements.
• Ensure and carry out forward design process and document quality according to V model to fulfil stringent automotive industrial standards.
• Implement software programme to realize defined architecture & design.
• Behave independently as technology domain representative for internal and external customers.

Requirements:

• Bachelor's degree or above in Electronic/Computer Engineering or related field with 5 years' experience in the embedded system development, preferably in automotive industry.
• Innovative mindset with ability to think critically and solve problems
• Experience in software development using C++.
• Knowledge of Operating Systems (OS) concepts and Data Structures, Inter Process Communication and Algorithms.
• Familiar with Service Oriented Architecture. Cloud Native development experience is an added advantage.
• Deep understanding of network layer components such as IPv4, IPv6, routing, forwarding, TCP/IP.
• Experience in software development in Linux is a must. Knowledge of Real-time operating systems (RTOS), Android Auto or QNX will be an added advantage.
• Experience in Python or Rust will be an added advantage.
• Experience in Adaptive Autosar or Robot Operating Systems (ROS) will be an added advantage.
• Experience in developing time-critical functions in embedded systems.
• Proficiency with network monitoring protocols and tools.
• Prefer candidates have experience with embedded ARM processor.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R)
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Description

• Identify and troubleshoot issues with electronic systems and components in vehicles, providing effective repair solutions.
• Execute repairs on electronic devices, including tasks such as soldering, replacing components, and repairing circuit boards.
• Work closely with various teams to address and resolve electronic component problems swiftly.
• Employ diagnostic tools and testing equipment to monitor and enhance the performance of electronic systems.
• Keep detailed logs of all repair work, maintenance activities, and equipment details.
• Liaise with suppliers to acquire replacement parts and manage the spare parts inventory effectively.
• Follow all safety protocols and regulatory requirements during repair and maintenance procedures.

Job Requirement:

• Diploma in Electrical or Electronics Engineering, Automotive Technology, or a related field.
• Demonstrated expertise in diagnosing and repairing electronic components, including the ability to handle ECU repairs.
• Strong knowledge of electronic circuits, embedded systems, and semiconductor technology.
• Experienced in soldering techniques and adept at interpreting and analyzing circuit schematics.

Other:

• Monday - Friday: 08:30 AM - 05:30 PM
• Alternate Saturdays: 08:30 AM - 12:30 PM

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START YOUR REWARDING CAREER WITH US NOW!

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Interested Candidates, Please send your Detailed Resume stating Past Employments, Including Reasons of Leaving, Current / Last Drawn and Expected Salary to: [email protected]

WE REGRET TO INFORM THAT ONLY SHORTLISTED CANDIDATES WILL BE NOTIFIED

Manfield Employment Services Pte Ltd (Lic. No: 95C2823)

Posting Personnel: Leroy Lok

EA Personnel Reg No.: R2090115

By sending your job resume to us, it shall be deemed that you have agreed and hereby give your consent to MANFIELD in collecting, using and/ or disclosing your personal data for the purpose of accessing and processing your job application and/ or for future job opportunities within MANFIELD and/ or with the client(s) of MANFIELD. If you wish to withdraw your consent, please notify us. Kindly visit our company website for more information on the Privacy Policy.

Overview

As a Vehicle Homologation Engineer, you will be responsible for ensuring that our vehicles comply with all relevant regulatory and legal requirements in the markets where they are sold. This role requires a deep understanding of automotive regulations, standards, and certification processes. You will work closely with cross-functional teams, including design, engineering, and regulatory affairs, to ensure that our vehicles meet all necessary homologation and certification standards.

Key Job Accountabilities

Regulatory Compliance:

Stay abreast of current and upcoming automotive regulations, standards, and certification requirements globally.
Interpret and communicate regulatory requirements to internal teams.
Ensure that vehicle designs and modifications comply with local, regional, and international standards.

Certification Process:

Manage the entire homologation and certification process for new and existing vehicle models.
Collaborate with external testing agencies and regulatory bodies to facilitate the approval process.
Prepare and submit required documentation for regulatory approvals.

Testing and Validation:

Plan and coordinate vehicle testing activities to validate compliance with regulatory requirements.
Analyze test results and work with engineering teams to address any non-compliance issues.
Develop and maintain testing protocols to ensure ongoing compliance.

Cross-Functional Collaboration:

Work closely with design, engineering, and manufacturing teams to integrate regulatory requirements into the product development process.
Collaborate with regulatory affairs professionals to navigate the complex landscape of regional and global regulations.

Documentation and Reporting:

Prepare and maintain accurate records of homologation and certification processes.
Generate reports for internal and external stakeholders detailing compliance status and any necessary corrective actions.

Continuous Improvement:

Identify opportunities for process improvement in the homologation and certification workflow.
Stay informed about industry best practices and emerging trends in vehicle homologation.

Required Qualifications & Experience

• Diploma or degree in Mechanical Engineering, Automotive Engineering, or a related field. Advanced degree is a plus.
• Proven experience in vehicle homologation, certification, or regulatory affairs within the automotive industry.
• In-depth knowledge of global automotive regulations and standards (e.g., FMVSS, ECE, CCC).
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Ability to work collaboratively in a cross-functional team environment.
• Attention to detail and ability to manage multiple projects simultaneously.

Job Info:

• Salary: Basic up to $3900 + VB + Flexi Dollar $700
• Working Hour: Monday - Friday (8.30am - 5.30pm); Alternate Saturday (8.30am - 12.30pm)
• Location: Tuas Crescent MRT (Company transport will pick up)

Job Scope:

• Analyze and rectify electronic components and systems to identify faults and devise suitable remedies
• Conduct maintenance tasks on electronic devices, encompassing soldering, component substitution, and circuit board restoration
• Work closely with interdisciplinary teams to comprehend and resolve electronic component challenges promptly
• Employ testing apparatus and diagnostic instruments to evaluate the effectiveness and operation of electronic systems
• Maintain precise documentation of repairs, upkeep operations, and equipment particulars
• Coordinate with suppliers to acquire replacement parts and manage an inventory of spare components
• Guarantee adherence to safety protocols and regulatory requirements throughout repair endeavors

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RK Recruitment Pte Ltd | EA License No.: 20C0280

Chou Jia Hooi | EA Personnel No.: R23115147

Job Summary
• This role is responsible for overseeing multiple project teams through the entire development lifecycle, by applying advanced subject matter knowledge. The role encompasses assessing engineering deliverables, ensuring alignment with guidelines and standards, and enhancing product quality. The role collaborates with customer engineering management to comprehend and document client priorities and requirements, while also driving innovation and technology integration.

Responsibilities
• Leads multiple project teams of other engineers and internal and outsourced development partners responsible for all stages of development across multiple engineering disciplines for complex products, platforms, systems, software, and technology solutions.
• Reviews and governs the technical quality of engineering deliverables from the project teams.
• Evaluates designs and project activities for compliance with technology and development guidelines and standards; provides tangible feedback to improve product quality.
• Expands relationships with internal and outsourced development partners on engineering design and development.
• Works closely with customer engineering section management to interpret and document client priorities, scope and requirements.
• Develops cost estimates, business cases, appropriation requests and plans for engineering projects.
• Provides domain-specific expertise and overall engineering leadership and perspective to cross- organization projects, programs, and activities.
• Drives innovation and integration of new technologies into projects and activities in the engineering design organization.
• Exercises independent judgment in resolving business issues and establishing policies.
• Provides guidance and mentoring to less- experienced staff members to set an example of engineering design innovation and excellence.

Education & Experience Recommended
• Four-year or Graduate Degree in Electrical Engineering, Computer Engineering, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 10 years minimum work experience, preferably in engineering design, engineering design tools, or a related field.

• Candidates shall have good knowledge of PC Product Engineering.
• Candidates possess a proficient level of expertise in Design for Excellence (DfX) techniques.
• Familiar with PC production process and able to do first-level issue triage on factory quality issues.
• Self-motivated and proactive with demonstrated creative and critical thinking capabilities.
• Understands and deals well with rapid development cycles; remains flexible and calm in the face of uncertainty.
• Teamwork: able to fit in well with a team and understand capabilities and priorities while fostering a collaborative environment Using empirical analysis, modelling, and testing methodologies to validate product designs and specifications.
• Excellent written and Fluent English and local language.
• Ability to effectively communicate manufacturing plans, proposals, and results, and negotiate options at management levels.
• Excellent analytical and problem-solving skills using 6-sigma techniques.

Preferred Certifications
• Product Certification
• Six Sigma Certification

Cross-Org Skills
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Impact & Scope
• Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.

Complexity
• Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.

Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Sustainable impact is HP’s commitment to create positive, lasting change for the planet, its people, and our communities. This serves as a guiding principle for delivering on our corporate vision – to create technology that makes life better for everyone, everywhere.

HP is a Human Capital Partner – we commit to human capital development and adopting progressive workplace practices in Singapore.

- Evaluate existing supply chain processes and identify areas for improvement.

- Implement strategies to enhance efficiency, reduce costs, and streamline operations.

- Develop and implement inventory control strategies to optimize stock levels.

- Collaborate with procurement and production teams to ensure adequate supply without excess inventory.

- Work closely with cross-functional teams, including procurement, logistics, and production, to ensure seamless coordination.

- Establish effective communication channels to address supply chain challenges.

- Explore and implement technological solutions to improve supply chain processes.

- Stay updated on industry trends and advancements in supply chain technology.

- Proactively identify opportunities for continuous improvement in supply chain operations.

- Implement best practices and monitor key performance indicators (KPIs).

WAGO is a well-known Electronic Automation Company who is represented in Singapore with a fully owned subsidiary for more than 25 years and has a well-established infrastructure locally.

We have set up a R&D Competence Center in Singapore to better cope with the arising global market demand. The new R&D Competence Center will start its operations in the already existing infrastructure in Singapore.

The focus of the new R&D Competence Center in Singapore will lay on the business areas of sensor technology and power electronics for serving the energy, building, industrial and future mobility sectors.

We are currently seeking a dynamic individual for the role of Performance Chain Manager / Project Manager, someone with a proven track record and a genuine interest in sensors/power electronics devices/industrial power supplies. If you bring a wealth of experience in project management, coupled with a passion for advancing sensor technology and power electronics, we welcome you to apply for this role.

Your scope of tasks & responsibilities

• Project management: Oversee end-to-end project processes covering the entire performance chain (product management, R&D, procurement, production, quality assurance, logistics, marketing and sales). Projects may involve international internal and/or third-party development/manufacturing service providers.
• Stakeholder management: Efficiently manage relevant stakeholders throughout the project lifecycle to ensure alignment, collaboration, and successful project outcomes.
• Project strategy and planning: Establish the project strategy and plan the project phases in accordance with quality, economic, and time requirements. Accountable for the project budget and timeline.
• Reporting: Ensure proper planning, documentation and regular reporting to project owners.
• Problem-solving: Proactively search for alternatives if stakeholder fails to meet the required and requested performance to maintain project targets and KPIs.

Your professional profile -qualifications & competences-

• Bachelor/Master of Science degree in a technical field, preferably in Electrical engineering, industrial engineering or any equivalent qualification
• Previous experience in leading international and interdisciplinary teams
• Proactive mindset with strong execution abilities
• Hands-on experience in industrial electronics/automation technology
• Proficiency in Microsoft Office suite and project planning software such as MS Project.
• Language skills: English is mandatory, Chinese will be an advantage.

Our offer

• Within a dynamic, international company environment, which is affected by a sustainable growth, exciting and diversified duties and responsibilities are waiting for you.
• We provide you with a platform where you can further develop your passion and technical competence, and onboard an exciting industry and market oriented career.
• We offer you an attractive, performance-related payment package, focusing on an efficient, process-oriented organization, where the individual responsibility and self-organization of our employees as ‘entrepreneurs within the company’ are particularly advanced.
• The company is one of the globally leading players in the connection and automation technology space offering to its customers innovative high-tech solutions.