Simulation Developer Intern – Synthetic Data & Object Detection

OKSITorrance, CA
just now$20 - $40Onsite

About The Position

We are seeking a Simulation Developer Intern to support the design and development of high-fidelity synthetic environments and automated data generation pipelines used for object detection and machine learning model training. This role works alongside senior engineers to build real-time 3D simulation scenes, generate labeled datasets, and integrate synthetic outputs into ML workflows. The internship provides hands-on experience in simulation engineering, dataset development, and computer vision systems supporting defense and commercial applications.

Requirements

  • Currently pursuing or recently completed a degree in Computer Science, Computer Engineering, Robotics, Game Development, or a related technical field
  • Experience with Unreal Engine (UE4/UE5) or similar real-time rendering platform
  • Experience with Blender or comparable 3D modeling software
  • Familiarity with Python, C++, or scripting for automation
  • Foundational understanding of 3D graphics, simulation environments, or game engine concepts
  • Basic understanding of computer vision concepts such as object detection or segmentation
  • Strong analytical skills and attention to detail
  • Ability to manage multiple technical tasks and follow established development workflows
  • Clear written and verbal communication skills

Nice To Haves

  • Experience generating synthetic datasets for machine learning
  • Experience implementing domain randomization techniques
  • Familiarity with PyTorch or other ML frameworks
  • Shader programming experience
  • Experience with sensor simulation (EO, IR, thermal)
  • Background in autonomy, robotics, or defense applications

Responsibilities

  • Build and modify 3D simulation environments using Unreal Engine
  • Create and optimize 3D models, materials, and textures in Blender
  • Configure lighting, weather, and camera perspectives for realistic scenes
  • Generate labeled synthetic image and video datasets
  • Assist with bounding box and segmentation ground truth extraction
  • Support dataset organization, validation, and quality check.
  • Help automate data export and labeling workflows
  • Collaborate with machine learning engineers to support model training
  • Participate in testing, troubleshooting, and performance optimization
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