Remote Unreal Engine Developer — Digital Twins & Analytics

Sas

United States

Hybrid

USD 110,000 - 150,000

Full time

2 days ago
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Benefits offered by this job

Comprehensive health plans
401k plan
Tuition assistance
Generous paid time off
Winter Wellness Break

Job summary

SAS is seeking an Unreal Engine Developer to work on real-time 3D digital twin projects and analytics-driven simulations. You will ship features in Unreal Engine 5, linking visualization with real-time telemetry and machine learning outputs.

Collaboration with IoT engineers, software architects and analytics teams is essential, with opportunities to contribute to open-source projects for SAS. Remote work is available in the US, with hybrid options in Cary, NC, and a strong emphasis on secure,

Qualifications

  • Bachelor's degree in Computer Science or related field.
  • 5+ years’ experience building interactive 3D apps with Unreal Engine, Blueprints and C++.
  • Experience delivering real-time 3D or simulation projects to release.
  • Experience integrating external data into real-time apps (JSON, REST, WebSocket, MQTT).
  • Team-based pipeline experience with version control (Perforce/Plastic SCM/Git).

Responsibilities

  • Build and extend photorealistic digital twin environments in Unreal Engine 5 with real-time simulation and visualization.
  • Connect Unreal visualizations to real-time telemetry, sensor inputs and ML outputs.
  • Develop and optimize Blueprints and C++ modules for simulation logic, physics and UI.
  • Integrate and extend Unreal Engine plugins, including SAS Connector and third‑party plugins.
  • Profile and resolve performance issues using Unreal Insights and profiling tools.

Skills

Unreal Engine
Blueprints
C++
Real-time 3D
Team collaboration
JSON/WebSocket

Education

Bachelor's degree in Computer Science

Tools

Perforce
Plastic SCM
Git

Job description

SAS is seeking an Unreal Engine Developer to work on real-time 3D digital twin projects and analytics-driven simulations. You will ship features in Unreal Engine 5, linking visualization with real-time telemetry and machine learning outputs.

Collaboration with IoT engineers, software architects and analytics teams is essential, with opportunities to contribute to open-source projects for SAS. Remote work is available in the US, with hybrid options in Cary, NC, and a strong emphasis on secure,

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