College Intern – System Engineer

Hewlett Packard Enterprise; Singapore; On-site; SGD 17,000 - 28,000; Full time

Benefits offered by this job

Mentorship from senior engineers

Hands-on internship experience

Exposure to AI/IoT and Industry 4.0

Job summary

Hewlett Packard Enterprise in Singapore is offering a College Intern – System Engineer role. You will assist in designing and maintaining manufacturing automation systems, troubleshoot with guidance from senior engineers, and gain exposure to MOM solutions, SCADA, PLC, and AI-enabled operations.

Current students pursuing a relevant engineering or data analytics degree can contribute to testing, validation, and reporting while collaborating with Manufacturing, Engineering, IT, and Quality teams

Qualifications

• Pursuing a Bachelor's or Master's degree in a relevant engineering or data analytics discipline.

Responsibilities

• Support the design, development, and maintenance of manufacturing automation systems, including SCADA, PLC, FactoryTalk, and MOM solutions.
• Assist in troubleshooting automation systems and equipment under guidance of senior engineers.
• Participate in testing, validation, and debugging activities for manufacturing equipment and processes.
• Help collect, analyze, and interpret operational data to support process improvements and reliability.
• Develop and execute test plans, document results, and track corrective actions.
• Support validation activities for manufacturing and chemical processes, focusing on safety, quality, reliability and efficiency.
• Maintain documentation, records, and data logs for engineering projects.
• Create reports, presentations, and knowledge-sharing materials communicating findings and recommendations.
• Collaborate with cross-functional teams across Manufacturing, Engineering, Quality, IT, and OT.
• Gain exposure to industrial networking, server infrastructure, and enterprise manufacturing systems.
• Explore AI, Data Analytics, Industrial IoT, and Digital Manufacturing within operations.
• Contribute to continuous improvement projects in automation and digital transformation.

Skills

Analytical skills

Problem-solving

Communication skills

Independent work

Team collaboration

Programming aptitude

Education

Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Mechatronics Engineering, Automation Engineering, Industrial Engineering, Computer Science, Data Analytics

Tools

Rockwell Automation

PLC/SCADA/HMI

Job description

College Intern – System Engineer

College Intern – System Engineer Description - What a College Intern – System Engineer does at HP: Support the design, development, and maintenance of manufacturing automation systems, including SCADA, PLC, FactoryTalk, and other Manufacturing Operations Management (MOM) solutions. Assist in troubleshooting automation systems and equipment under the guidance of senior engineers. Experience or coursework in Rockwell Automation systems is an advantage. Participate in testing, validation, and debugging activities for manufacturing equipment, electronic systems, and automation processes. Help collect, analyze, and interpret operational data to support process improvements, equipment reliability, and manufacturing performance. Assist in developing and executing test plans, documenting results, and tracking corrective actions. Support validation activities for manufacturing and chemical process operations, considering factors such as safety, quality, reliability, and operational efficiency. Maintain accurate documentation, procedural records, and data logs for engineering projects and improvement initiatives. Create reports, presentations, and knowledge-sharing materials to communicate project findings and recommendations. Collaborate with cross-functional teams, including Manufacturing, Engineering, Quality, IT, and Operations Technology teams. Gain exposure to industrial networking, server infrastructure, and enterprise manufacturing systems that support factory operations. Explore the application of emerging technologies such as Artificial Intelligence (AI), Data Analytics, Industrial IoT, and Digital Manufacturing within operational environments. Contribute to continuous improvement projects focused on automation, digital transformation, and process optimization. Individuals who do well in this role at HP, usually possess: Currently pursuing a Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Mechatronics Engineering, Automation Engineering, Industrial Engineering, Computer Science, Data Analytics, or a related discipline. Able to commit for a 5-6 months full-time internship, starting in January 2027. Basic knowledge of automation systems, PLCs, SCADA, HMI, or industrial control systems through coursework, projects, or internships. Familiarity with programming, scripting, or automation tools is a plus. Interest in manufacturing operations, process automation, Industry 4.0, and smart factory technologies. Exposure to data analysis, statistics, or visualization tools is advantageous. Proficiency in Microsoft Office applications (Excel, PowerPoint, Word). Knowledge of AI, Machine Learning, Data Analytics, IoT, SAP, or ERP systems is an added advantage. Understanding of industrial equipment, robotics, control panels, hydraulic/pneumatic systems, or electronic troubleshooting through academic projects or hands‑on experience is beneficial. Strong analytical, problem-solving, and communication skills. Ability to work independently as well as collaborate effectively in cross‑functional teams. Prior internship, project work, competition participation, or laboratory experience related to automation, manufacturing, or engineering is a plus.

Responsibilities

• Support the design, development, and maintenance of manufacturing automation systems, including SCADA, PLC, FactoryTalk, and other Manufacturing Operations Management (MOM) solutions.


• Assist in troubleshooting automation systems and equipment under the guidance of senior engineers.


• Experience or coursework in Rockwell Automation systems is an advantage.


• Participate in testing, validation, and debugging activities for manufacturing equipment, electronic systems, and automation processes.


• Help collect, analyze, and interpret operational data to support process improvements, equipment reliability, and manufacturing performance.


• Assist in developing and executing test plans, documenting results, and tracking corrective actions.


• Support validation activities for manufacturing and chemical process operations, considering factors such as safety, quality, reliability, and operational efficiency.


• Maintain accurate documentation, procedural records, and data logs for engineering projects and improvement initiatives.


• Create reports, presentations, and knowledge-sharing materials to communicate project findings and recommendations.


• Collaborate with cross-functional teams, including Manufacturing, Engineering, Quality, IT, and Operations Technology teams.


• Gain exposure to industrial networking, server infrastructure, and enterprise manufacturing systems that support factory operations.


• Explore the application of emerging technologies such as Artificial Intelligence (AI), Data Analytics, Industrial IoT, and Digital Manufacturing within operational environments.


• Contribute to continuous improvement projects focused on automation, digital transformation, and process optimization.

Qualifications

• Currently pursuing a Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Mechatronics Engineering, Automation Engineering, Industrial Engineering, Computer Science, Data Analytics, or a related discipline.


• Able to commit for a 5-6 months full-time internship, starting in January 2027.


• Basic knowledge of automation systems, PLCs, SCADA, HMI, or industrial control systems through coursework, projects, or internships.


• Familiarity with programming, scripting, or automation tools is a plus.


• Interest in manufacturing operations, process automation, Industry 4.0, and smart factory technologies.


• Exposure to data analysis, statistics, or visualization tools is advantageous.


• Proficiency in Microsoft Office applications (Excel, PowerPoint, Word).


• Knowledge of AI, Machine Learning, Data Analytics, IoT, SAP, or ERP systems is an added advantage.


• Understanding of industrial equipment, robotics, control panels, hydraulic/pneumatic systems, or electronic troubleshooting through academic projects or hands‑on experience is beneficial.


• Strong analytical, problem-solving, and communication skills.


• Ability to work independently as well as collaborate effectively in cross-functional teams.


• Prior internship, project work, competition participation, or laboratory experience related to automation, manufacturing, or engineering is a plus.

What You'll Gain

• Hands‑on experience with manufacturing automation and digital factory technologies.


• Exposure to real‑world industrial systems and manufacturing operations.


• Opportunities to work on AI, data analytics, process automation, and Industry4.0 initiatives.


• Mentorship from experienced engineering and operations professionals.


• Experience collaborating across Engineering, Quality, Manufacturing, and Operations Technology teams.

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#Li-Post Job - Administration Schedule - Full time Shift - No shift premium (Singapore) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc.

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