Simulation Developer Intern - Synthetic Data & Object Detection

Job Description

Description:

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.

What You Will Do

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 optimizationRequirements:

Required Qualifications

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

Preferred but Not Required

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

Work Environment and Schedule

Onsite, full-time internship position

Standard business hours

Pay and Benefits

Hourly pay range: $20.00 to $40.00 per hour (dependent on experience and qualifications)

Additional Requirements

To comply with U.S. Government export control regulations, including the International Traffic in Arms Regulations (ITAR), you must be a U.S. person as defined by law. A U.S. person includes a U.S. citizen, lawful permanent resident, or protected individual as defined by 8 U.S.C. § 1324b(a)(3), or an individual otherwise eligible to obtain the required authorization from the U.S. Department of State.

We are an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, or any other status protected by law. We provide reasonable accommodations for qualified individuals with disabilities in the application and hiring process. The person hired will have access to information and items subject to U.S. export controls, and therefore, must either be a “U.S. person” as defined by 22 C.F.R. This employer participates in E-Verify.

Full-time