Carbon Project Manager

PIXEL AUTOMATION PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

PIXEL AUTOMATION PTE. LTD. seeks an experienced engineer to drive green manufacturing initiatives, integrating machine energy data with MES and sustainability dashboards.

You will monitor energy and carbon metrics, support carbon tax compliance, and collaborate with customers on deploying low-carbon automation solutions. Ideal candidates have engineering or science backgrounds and 3+ years in energy, sustainability, or related roles, with strong problem-solving and communication skills.

Qualifications

• Diploma or degree in engineering/science preferred.
• Experience in business or research roles related to sustainability disciplines.
• Ability to work independently and in a team.

Responsibilities

• Integrate machine energy data from PLC/SCADA into MES and dashboards.
• Develop and implement energy monitoring across machines to track energy and carbon metrics.
• Collaborate with customers to deploy energy monitoring systems.
• Support energy efficiency initiatives and carbon emissions reduction projects.
• Conduct research proposals evaluation and project reviews related to sustainable manufacturing.

Skills

GMI Development

Machine-level monitoring

Carbon tax compliance

LCA & carbon footprint

Data analytics

Sustainability dashboards

Automation optimization

Energy monitoring

Stakeholder engagement

R&D strategy

Education

Diploma / Degree in Engineering or Sciences

Tools

MES

SCADA

ERP Integration

PLC data integration

Job description

Core Competencies / Skills

• Green Manufacturing Index (GMI) Development
• Machine-Level Carbon & Energy Monitoring
• Carbon Tax / ETS Compliance
• LCA & Product Carbon Footprint
• MES / SCADA / ERP Integration
• Industrial Automation & Smart Factory
• Data Analytics & Sustainability Dashboards
• Energy monitoring systems- develop and Integrate Green Manufacturing Index across our customer exiting and new automated machines, tracking energy intensity, carbon intensity, and utilization efficiency.
• Integrated machine energy data from PLC/SCADA into MES and corporate sustainability dashboards.
• Reduced carbon intensity through process optimization and energy efficiency initiatives.
• understand and Work together with customers to implement all machines with energy monitoring system to reduce and manage carbon emissions, aligned with government direction.
• . Practical and guide customer to manage energy efficiency.
• supply low-carbon equipment specifications for new automation projects.
• manage research proposals evaluation, project reviews and management

Proven track record in implementing machine-level energy and carbon metrics, ensuring carbon tax compliance, and integrating sustainability KPIs into automated production environments.

• Energy monitoring at machine level
• Low carbon
• Built Environment
• Circular Economy
• Electrification

You will have the exciting opportunity to contribute to driving new frontiers of machines, providing thought leadership, and creating a Singapore ecosystem conducive for new investments and growth. You will work closely with equipment teams, as well as to develop and implement R&D strategies, build cutting-edge research programmes, and bring them to deployment or commercialisation.

You should have a strong drive and impact-oriented mindset to ensure investments in R&D activities deliver good economic, sustainability and societal outcomes for Singapore.

Job Requirements

• -Diploma / Degree related to Engineering- or Sciences-preferred.
• -At least 3 years of working experience in either business or research roles related to the above discipline.
• -Able to work independently and a strong team player
• -Excellent written and oral communication skills
• -Excellent interpersonal skills to engage internal and external stakeholders-Meticulous, excellent problem solving and analytical skills and able to multi-task
• -Values integrity, teamwork and excellence
• -knowledge in energy consumption, monitoring hardware and software is a must.
• -Track record in developing machine level energy monitoring system is desirable.