Simulation Developer I

OKSI•Torrance, CA

About The Position

Opto-Knowledge Systems, Inc. (OKSI) is seeking a Simulation Developer I to support the development of high-fidelity synthetic environments and automated data generation pipelines for computer vision and machine learning applications. This role focuses on building real-time 3D simulation environments, generating labeled synthetic datasets, and supporting rapid model iteration in controlled and repeatable environments. This is an ideal opportunity for an early-career developer with strong Unreal Engine and 3D development experience who is interested in synthetic data, object detection, and defense-focused AI applications.

Requirements

Bachelor’s degree in Computer Science, Engineering, or related technical field
0 to 2 years of professional experience or strong project portfolio demonstrating simulation or 3D development work
Experience with Unreal Engine (UE5 preferred)
Experience with Blender or equivalent 3D modeling software
Proficiency in UV mapping, texturing, and material development
Python scripting experience for automation or data processing
Familiarity with Git or other version control systems
Understanding of object detection fundamentals including bounding boxes and segmentation
Strong problem-solving and debugging skills
Ability to work collaboratively in a technical team environment
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.

Nice To Haves

Experience generating synthetic datasets for machine learning applications
Familiarity with domain randomization techniques
Experience integrating simulation outputs into ML training workflows
Knowledge of real-time rendering optimization techniques
Exposure to defense, aerospace, or sensor-based systems

Responsibilities

Develop modular, reusable 3D environments using Unreal Engine (UE5 preferred), including terrain, vehicles, maritime and land-based scenes
Implement dynamic lighting, weather, environmental effects, and configurable sensor perspectives including EO and IR where applicable
Apply domain randomization techniques to improve dataset diversity and robustness
Create and optimize 3D models using Blender or similar tools, including UV mapping, texturing, and material development
Build automated pipelines to generate labeled image and video datasets
Implement ground truth extraction such as bounding boxes, segmentation masks, and associated metadata
Support dataset organization, validation, and automation for repeatable model testing
Collaborate with machine learning engineers, systems teams, and sensor teams to ensure realism and training alignment
Optimize rendering performance while maintaining visual fidelity
Support internal demos, proposal efforts, and documentation