Univers provides the world’s most comprehensive decarbonization system.
We help companies and countries optimize energy systems and reduce carbon emissions with accurate, reliable, and actionable decarbonization data. Our EnOS (Energy and Environment Operating System) platform connects on-the-ground operational technology and in-the-cloud intelligence to deliver real-time energy data and data-driven carbon monitoring, reporting, and abatement.
With 220 million sensors and smart devices connected, 550GW of renewable energy under management, and a community of over 500 customers, we’re helping the world’s leading businesses get the world to net zero—and what comes after it.
As a Solution Architecture Intern, you will work closely with the Solution Architects in supporting renewable related projects and pre-sales opportunities related to renewable.
The successful candidate will be working with experienced personnel to handle areas including project solutioning, customer engagement and project management for ESS, Smart Industry, and VPP related projects.
Challenge the Future of Energy
We’re united in the belief that sustainability is within humanity’s reach, and that together we have the ingenuity, energy, and expertise to reach it.
We’re already creating value for giants of industry – Microsoft, Accenture, Amazon Web Services, Nissan, and Keppel Corporation, to name a few. But we’re young enough to still be learning from each other. Every employee has a chance to make their mark.
Job Description:
Roles and Responsibilities:
Carry out project planning activities through cost estimation and risk mitigation
Design technical solutions including architectures and technical proposals with the necessary hardware and software to ensure customers’ requirements are met
Support the presales team in their sales pursuits
Develop the business models of new energy in the fields of energy industries through business analysis of potential opportunities from both technical and commercial perspectives
Qualifications and Experience:
Currently pursuing a Bachelor Degree in Computer Engineering or related field.
Knowledge and experience in Artificial Intelligence and Machine Learning are strongly preferred.
Good understanding or experience with software, renewable energy, and the power industry.