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Graduate Software Engineer

Neara
Full-time
Remote friendly (Sydney, New South Wales, Australia)
Australia
Engineering, Software & Technology

We are super passionate about hiring, training and developing engineering talent. As a Graduate Software Engineer at Neara, you will work on mind-blowingly complex technical challenges that have real-world impact. We're not just gluing APIs together or building basic CRUD apps - we're doing actual deep learning, running physics simulations at scale, and working with massive datasets to transform how the world's most essential systems are designed and operated. 

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You will also exercise collaboration in a cross-functional team environment, with our product and engineering teams to solve product and business problems. The work is challenging, meaningful, and different to anything you'll find at typical tech companies.

We will teach you how to:

  • Write production-quality code to support our machine learning systems
  • Build and operate pipelines for accessing and enriching data for machine learning
  • Build simulation engines that scale across millions of assets
  • Develop algorithms to generate accurate models from imperfect data
  • Develop data structures that can perform in real-time with user interaction on large underlying data sets
  • Work with a variety of data sources, including LiDAR, aerial photography & photogrammetry, 
  • Work on real-time collaboration & live update algorithms
  • Put your software engineering skills to the test in organising functionality for many use cases in a complex domain (this is not an "on click button, send RPC" kind of application)
  • Work and develop new features/products as the company grows

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Who are you:

You’re degree is qualified in a STEM discipline (Computer Science, Software Engineering, Mechatronics, Mathematics or similar). You are or will demonstrate the ability to become:

  • Proficient in Java, C++, JavaScript/TypeScript/HTML/CSS, WebGL
  • Proficient with AWS, GCP
  • Proficient in software engineering principles and trade-offs 
  • Proficient in algorithms and data structures 
  • Highly mission-driven, and an innate desire to make a genuine difference. 

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