Senior Software Engineer - Digitisation

The role

You will build a platform that sits between machine learning algorithms and delivery teams to make building digital twins self-service. You will own the interface between algorithms and users, scaling frameworks, and tooling performance.

What you will do

• Build the interface between algorithms and the people who use them
• Surface problems clearly so non-developers can act on them
• Feed human corrections back into ML systems as training and evaluation data
• Develop frameworks that break work into standard, repeatable units
• Manage tooling performance including load times and interaction latency
• Roll out tools to internal teams spread across global regions

Required qualifications

• Strong track record designing and shipping complex, production-grade systems
• Care for the end-user experience
• Product sense to gather requirements and focus on outcomes
• Depth of experience and interest in modern programming languages such as Java, C++, Dart, TypeScript, WebGL, and Python
• Ability to get up to speed quickly in unfamiliar technical areas
• Bachelor’s degree in Computer Science, Mathematics or a related field, or equivalent practical experience

Nice to have

• Human-in-the-loop systems: review and QA workflows, task routing and assignment, or consensus and adjudication at scale
• Owning a DSL, expression language or low-code surface that other teams build on
• Supporting distributed operational teams across time zones
• Building dense, stateful tools for expert users (e.g. CAD, GIS, IDEs or serious data visualisation)
• Exposure to geospatial systems, LiDAR, utilities, energy or physics-based platforms

Benefits

• Competitive salary
• Meaningful ESOP
• Fully flexible working arrangements
• Well-stocked office in Redfern
• Regular office events

Before you apply

• You will require current and unrestricted working rights
• Not in a position to offer visa sponsorship

About the company

Neara uses advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents. The team utilizes AI and machine learning to accelerate data classification and complex scenario analysis.