Posted Nov 2, 2026

Implementation Engineer

Apply Now

Imagine having the power to stress-test an entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara.

We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges and bring the most viable solutions to life across millions of kilometres of infrastructure.

By simulating extreme weather and structural stress at a network-wide scale, we empower the world’s largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future.

Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns the mission and we need smart, creative people to help us scale this impact to every corner of the globe.

Implementation Engineer

As an Implementation Engineer, you will transform raw utility and geospatial data into high accuracy digital twin models of electricity networks. You will work with GIS, LiDAR, and asset data sets, configure models using Neara’s schema language, and ensure engineering grade accuracy. You will join the Deployment Team responsible for delivering the Neara platform to utility customers worldwide.

What You Will Do:

Who You Are:

What We Offer:

#LI-NT1

Proven experience as Data/Implementation/Integration/Software Engineer; proficiency in SQL, Python or similar; ability to learn new schema language; excellent written English; background in engineering, math, software, or related field preferred.

Key Responsibilities

Skills & Tools

SQL, Python, GIS, LiDAR, CAD

Job Details

Benefits

About Neara

A technology company creating engineering-grade digital twins of electricity grids using machine learning. — Industry: Information Technology