Total 28 purchasing engineer job vacancies in Transportation / Logistics category in Woodlands & Tuas, North West

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.

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.

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.

Job Responsibilities:

• Source and purchase environmentally friendly materials and products to support our sustainable mission.
• Identify, establish, and maintain professional relationships with suppliers, ensuring alignment with company values and sustainability goals.
• Formulate strategic procurement plans for both international and domestic sourcing to meet company objectives.
• Work proactively with cross-department teams to ensure product quality and timely deliveries, fostering strong internal collaboration.
• Regularly analyze market trends, price fluctuations, and potential supply chain risks to optimize sourcing strategies.
• Lead negotiations with suppliers, manage budgeting, and implement cost optimization measures in line with the company’s financial and environmental goals.
• Ensure compliance with internal procurement policies and relevant environmental regulations throughout the sourcing process.

Job Requirements:

• Minimum 5 years of relevant experience in sourcing and procurement.
• Strong understanding of international and domestic procurement processes, with experience in sustainable materials preferred.
• Proactive in collaborating across departments, ensuring seamless communication and alignment.
• Excellent communication skills, with the ability to liaise effectively with external partners and suppliers.
• Strong technical and data-driven decision-making skills to adjust procurement strategies based on market trends and business needs.
• Demonstrated ability to manage stress and maintain high performance during peak periods.
• Independent and team-oriented, able to take initiative while working collaboratively with others.

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.

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.

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.

- 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).

Position Overview

We are seeking a dynamic and motivated individual to join our team as an Electric Vehicle (EV) Charger Sales Engineer and Project Executive. This role requires a strong blend of project management skills, and sales acumen. The ideal candidate will be fearless in pitching our products, possess exceptional follow-up abilities, and demonstrate resourcefulness in identifying and converting cold leads into successful sales. As the primary point of contact for clients, this individual will play a critical role in driving the adoption of our EV charging solutions.

Key Responsibilities

1. Sales:

• Identify and pursue sales opportunities for electric vehicle charging solutions.
• Develop and maintain relationships with potential clients, including EV fleet operators, property managers, and municipalities.
• Conduct product presentations and demonstrations to showcase the features and benefits of our EV chargers.
• Utilize a proactive approach to generate and follow up on leads, both warm and cold, to achieve sales targets.
• Negotiate contracts and agreements with clients, ensuring favourable terms for both parties.
• Stay updated on industry trends, competitor activities, and market developments to inform sales strategies.

2. Project Management:

• Serve as the primary point of contact for clients throughout the project lifecycle, from initial inquiry to post-installation support.
• Collaborate with internal teams, including engineering, operations, and customer service, to ensure seamless project execution.
• Develop project plans, timelines, and budgets, and oversee their implementation to meet client requirements.
• Coordinate site assessments, installations, and commissioning activities, ensuring adherence to quality standards and safety regulations.
• Address any project-related issues or concerns promptly, striving to exceed client expectations at every stage.

3. Technical Expertise:

• Possess a deep understanding of electric vehicle charging technology, including different charging standards, power levels, and infrastructure requirements.
• Provide technical guidance and support to clients, addressing inquiries related to product specifications, installation procedures, and compatibility issues.
• Collaborate with the engineering team to identify opportunities for product improvements or customization based on client feedback and market demands.

Qualifications

• Bachelor's degree in Engineering, Business Administration, or related field (preferred).
• Some proven track record in sales, with a focus on technical products or solutions.
• Familiarity with CRM tools and sales tracking software.
• Project management skills, with the ability to manage multiple tasks simultaneously and prioritize effectively.
• Strong communication and interpersonal skills, with a persuasive and confident demeanour.
• High level of initiative and resourcefulness, with a demonstrated ability to identify and pursue new business opportunities.
• Passion for sustainability and clean transportation solutions.
• Knowledge of electric vehicle industry trends, regulations, and incentives is advantageous.

Benefits

• Competitive salary structure.
• Flexible office attire allowed.
• Long service incentive for hard work and effort.
• Opportunity for professional growth and advancement within the organization.
• Work in a dynamic and innovative industry at the forefront of sustainable transportation.

Application Process

Please submit your resume and a cover letter outlining your relevant experience and why you are the ideal candidate for this position. We look forward to reviewing your application and discussing how you can contribute to our team's success.

Objectives of the position:

- Handle special product (SPP) enquiries for cable

- Vendor development and monitoring

- Pricing activity for cables

- Close cooperation with product management, product development and sales

organization

Job Description

- Pricing for SPP enquiries of cable

- Handle suppliers for product development activities and liase with product development

and approving authorities

- Support quality in resolving technical complaints related to cables with suppliers

- Development of suppliers across APAC (except China) for cables

- Coordination activity for price from suppliers including own affiliates

- Close coordination with LAEMEA LBO for pricing from suppliers

- Close coordination with internal sales for pricing from suppliers and affiliates

- Calculation of DP for purchase of material from suppliers by affilates and business partners

as per the regional policy

- Adhoc assignments as assigned by Manager

Requirements

- Degree in electrical/industrial engineering

- Preferably 3–5-year experience in sourcing of cables and vendor development

- Understanding of cable industry

- Experience in handling sales enquiries

- Customer-oriented thinking

- Product knowledge with respect to cable standards and construction

- Application knowledge of cables for key industries.

- Very good knowledge of Microsoft Office/Business Software

- Knowledge of SAP

- Basic knowledge of cost calculation required.

- Business fluent in English as a communication language

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.

Responsibilities:

• Manage the ship ops readiness status of >90% monthly
• Monitoring and follow up of ships' defects promptly
• Join assessment on site with relevant parties for troubleshooting.
• Scope, review and approve aspects of work including both in-house and Contractor prepared studies and engineering.
• Provide engineering inputs in technical reviews to ensure technical integrity, efficiency, and safety of facilities.
• Conduct inspections, functional tests on site or workshop with relevant parties.
• Ensure that all work is done in a manner consistent with Company’s guidelines and policies.

Requirements:

• NTC/Diploma, preferably in Mechanical or Marine engineering field
• Preferably with 2-5 years’ working experience in marine related industry
• Knowledge of ship repairs, steelworks, fabrication works and NDT will be advantageous
• Able to read drawings
• Strong interpersonal and communication skills
• Experience in supervising workers and subcontractors in yard environment
• Proficient in MS Words, Excel, Powerpoint for reporting purpose

Other Information:

• Location: Changi
• Transport provided at or nearby: Jalan Bahar, Pioneer MRT, Boon Lay MRT, Lakeside MRT, Jurong West & East, Jalan Bukit Merah, Choa Chu Kang MRT, Bukit Panjang Plaza, Woodlands, Sembawang MRT, Yishun MRT, Bishan MRT, Ang Mo Kio MRT, Hougang Ave 8, Sengkang Square, Punggol Central, Pasir Ris MRT, Tampines MRT, Tanah Merah MRT
• 5 days work week
• Working Hours: 7.45am-5pm

Job Description:

• Lead SCM process by providing market insight and outlook, business update and opportunity optimization.
• Materials planning to ensure stock requirements are met accordingly.
• Solving any customer or suppliers on product specification and technical data matters.
• Constantly review and improve supply chain systems and procedures.
• Formulate SCM strategies and action plan.
• Develop and build strong relationship with local and overseas suppliers/ vendors and assist in day-to-day customer service activities.
• Supervise & handle Import & Export shipment arrangement.
• Manage all license requirement for Import/Export & transportation with compliance to Government Authority of Singapore.
• Perform supply chain cost analysis and manage cost efficiently.
• Develop good vendor management with warehouse personnel to meet objectives in area of adequately inventory control.
• Ad hoc assigned by Management.

Job Requirements:

• Degree in Chemistry / Chemical Engineering or any Engineering filed.
• At least 8 Year(s) of working experience in the SCM or related field is required for this position.
• Preferably with related experience in Chemical.
• Excellent written and spoken communication skills.
• Hands on experience in using Microsoft Navision system and strong in Microsoft Office, especially Excel would be an advantage.
• Experienced in ISO 9001,14001,45001.
• Ability to prioritize work-load, make systematic and logical 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.
• Hardworking and willing to go extra mile.

Job Description:

• Materials planning - Monitor regularly to ensure stock requirements are met accordingly.
• Review product specification/technical data from suppliers to customers.
• Responsible for general sales administration (respond to quality/product enquiry) and supply chain activities.
• Develop and build strong relationship with local and overseas suppliers/ vendors and assist in day-to-day customer service activities.
• Handle Import & Export shipment arrangement.
• In charge of logistic and third parties warehousing agents.
• Manage all license requirement for Import/Export & transportation with compliance to Government Authority of Singapore.
• Perform supply chain cost analysis and manage cost efficiently.
• Develop good vendor management with warehouse personnel to meet objectives in area of adequately inventory control.
• Ad hoc task assigned by Management.

Job Requirements:

• Degree in Chemistry / Chemical Engineering or any Engineering field.
• At least 2 Year(s) of working experience in the related field is required for this position.
• 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 and ISO, strong in Microsoft Office, especially Excel would be an advantage.
• Ability to prioritize work-load, make systematic and logical 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.