3D Simulation & Data Pipeline Engineer

SkyBound Rescuer; Southampton; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Competitive salary

Innovative projects in drone technology

Remote work opportunities

Collaborative work environment

Job summary

A pioneering drone technology company in Southampton seeks a 3D Simulation & Data Pipeline Engineer to create interactive simulation environments from aerial imagery. This hands-on role involves collaboration with the Data & AI team, using Unreal Engine 5, Python, and Blender. Candidates should have 3–5 years of relevant experience and a passion for innovation in the drone sector. Competitive salary and flexible working arrangements are offered.

Qualifications

• 3–5 years of hands-on experience in simulation engineering, 3D environment construction, or synthetic data workflows.
• Strong experience with Unreal Engine 5 and Blueprint scripting.
• Proficiency in Python for simulation automation tasks.
• Hands-on experience with Blender for mesh editing.
• Familiarity with reality capture workflows and drone-based data acquisition.

Responsibilities

• Build and maintain high-fidelity 3D scenes in Unreal Engine 5.
• Develop pipelines to transform aerial imagery into 3D assets.
• Enable capture and export of synthetic data for machine learning pipelines.
• Extend SITL and HITL frameworks for testing.

Skills

Unreal Engine 5

Python

Blender

Photogrammetry

GIS

Synthetic data generation

RealityCapture

Drone imagery

3D simulation

Tools

RealityCapture

MATLAB

RealityCapture

PX4/ROS/MAVLink

Job description

Overview

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Design the digital environments that power autonomous drone systems!

About SkyBound and the job:

SkyBound Rescuer is dedicated to automating drones for rapid response, optimised performance, and better cost-effectiveness, ultimately saving, protecting, and improving lives. We’re seeking a 3D Simulation & Data Pipeline Engineer to help turn aerial imagery into interactive, high-fidelity simulation environments - used for autonomy testing, training, and synthetic data generation.

In this hands-on role, you’ll collaborate closely with the Data & AI team, owning the pipeline from photogrammetry to Unreal Engine 5, and supporting workflows for sensor emulation, automated annotation, and scenario design.

Our team is lean, technically strong, and motivated by impact. We operate remotely, with monthly on-site collaboration in Southampton.

Work Location: Hybrid - Remote / Southampton SO19

Reports to: Head of Data and AI

Responsibilities

Simulation Environment Design

• Build and maintain high-fidelity 3D scenes in Unreal Engine 5, incorporating realistic lighting, weather systems, and sensor placement.
• Create and configure simulation actors and agents to replicate target behaviors or real-world phenomena (e.g. people, vehicles, crowds) using Unreal’s Actor framework.
• Implement automation workflows for scene management, data capture, and sensor simulation using Blueprints and Python APIs.
• Procedural generation of environments to augment datasets (people and landscapes).

Photogrammetry and Scene Reconstruction

• Develop pipelines to ingest and transform aerial drone imagery and photogrammetric reconstructions into usable 3D assets.
• Polish and optimise large-scale mesh models using tools such as Blender, reducing blockiness and improving terrain/texturing fidelity.
• Apply GIS and georeferencing knowledge to align models accurately within simulation space.

Synthetic Data & ML Pipeline Support

• Enable capture and export of synthetic data (e.g., RGB, depth, segmentation, metadata) for use in machine learning pipelines.
• Collaborate directly with ML researchers to tailor simulation scenarios for self-supervised, multi-frame, and temporal learning strategies.

SITL/HITL Integration

• Extend existing Software-in-the-Loop (SITL) and Hardware-in-the-Loop (HITL) frameworks to support testing of perception and planning systems.
• Contribute to sensor emulation, camera (RGB and Thermal/IR), and realtime control integration.

Required Skills and Experience

• 3–5 years of hands-on experience in simulation engineering, 3D environment construction, or synthetic data workflows - strong candidates with less experience but strong portfolios will also be considered.
• Strong experience with Unreal Engine 5, including Blueprint scripting and level/actor design.
• Proficiency in Python, especially for simulation automation and data pipeline tasks.
• Hands-on experience with Blender or similar tools for mesh editing and optimisation.
• Familiarity with reality capture workflows, including drone-based data acquisition and tools such as RealityCapture.
• Experience with photogrammetry, drone autonomy, or 3D modelling from aerial imagery.
• Basic understanding of SITL/HITL architectures and how they interface with tools like PX4, ROS, or MAVLink
• Familiarity with real-time rendering and performance optimisation for simulation environments.
• Experience with procedural scene generation or automated 3D asset pipelines.
• Basic familiarity with MATLAB and Simulink, especially in the context of robotics, control systems, or simulation validation.
• Working knowledge of GIS systems, including geospatial data formats (GeoTIFF, DEM, shapefiles) and coordinate transformations.
• Experience with synthetic data generation for ML, including sensor simulation and annotation export.
• Fluency in English is essential.
• Flexible and a team player.

What SkyBound Can Offer You

• Competitive salary and benefits package.
• Opportunity to work on innovative projects in the drone technology industry.
• Remote work with some visits to our Southampton office.
• Collaborative and inclusive work environment.

Join SkyBound Rescuer and be part of the future of drone technology!

Seniority level

• Mid-Senior level

Employment type

• Full-time

Industries

• Public Safety

Note: This description has been refined to improve formatting while preserving the original job information.