Job Overview
Location
Vilnius
Job Type
Full-time
Category
Engineering
Date Posted
April 17, 2026
Full Job Description
đź“‹ Description
- • As an Implementation Engineer at Neara, you will transform raw utility and geospatial data into high-accuracy digital twin models of electricity networks, playing a critical role in enabling utilities to stress-test power grids against extreme weather events before they occur.
- • You will ingest and manipulate massive datasets (LiDAR, GIS, and asset databases) using Neara’s schema language, perform rigorous QA/QC to ensure engineering-grade accuracy, build custom reports and dashboards for actionable insights, and collaborate with Product and Engineering teams to improve deployment tools and processes.
- • You will join the Deployment Team, a mission-driven group focused on delivering Neara’s platform to utility customers worldwide, working in a culture where innovation thrives through ownership and technical excellence.
- • In this role, you will gain expert-level proficiency in Neara’s 3D modeling environment, deepen your expertise in digital twin technology, and have direct influence on product roadmap and automation of core deployment processes as the company scales globally.
Skills & Technologies
About Neara Inc.
Neara Inc. is a technology company specializing in advanced infrastructure mapping and digital twin solutions. Leveraging AI and machine learning, Neara creates highly accurate, 3D digital representations of physical infrastructure, including power grids, telecommunications networks, and transportation systems. These digital twins enable organizations to visualize, analyze, and manage their assets with unprecedented detail. The platform facilitates improved decision-making for maintenance, upgrades, and emergency response planning. Neara's technology helps utility companies, government agencies, and other infrastructure operators enhance operational efficiency, reduce risks, and ensure the reliability and resilience of critical assets. Their focus is on providing actionable insights from complex data.
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