Synthetic Data & Simulation Engineer (Unreal / Omniverse / 3D AI)

At Algolight, we live and breathe the future of artificial intelligence and the physical world.

Our mission it two-folder:

On the civilian side, we build labeled 3D information layers from all types of sensors—for smart cities, drones, autonomous vehicles, infrastructure, public safety, and far beyond.

On the defense side, we bring true real-time intelligence to the edge—anywhere, for any sensor, at any point on the map—enabling smart, real-time decisions in the field.

Universal Labeler – The Data Engine of Physical AI

We are building the Universal Labeler — a system that generates data at scale, not just labels it.

Instead of labeling frames, we label reality across: 2D ↔ 3D ↔ multi-sensor domains

This enables:

• Massive scaling of labeled data
• Cross-sensor ground truth transfer (RGB → Thermal → Radar)
• Continuous generation of training data from real environments

The goal:

a machine for building foundation models across all sensors and conditions.

Algolight Edge – Real-Time AI in the Field

We build Algolight Edge — systems that take AI out of the lab and into the real world:

• Real-time pipelines running on edge devices (Jetson-class and beyond)
• Full-stack optimization (latency, memory, throughput)
• Multi-sensor processing under real-world constraints (noise, motion, instability)

This is where models meet reality — and have to actually work.

This is not a tool.

This is infrastructure for the next generation of physical AI.

R&D Team Mission

You will join a small, high-intensity R&D team working across:

• Universal Labeler systems (data generation, labeling pipelines, geometry-based truth)
• Edge AI systems (real-time deployment on Jetson and similar platforms)
• Video enhancement systems (real-world, degraded data, real-time + forensic pipelines)

What You’ll Do

You will build scalable systems for:

• Synthetic and semi-synthetic dataset generation
• Unreal Engine / Isaac Sim / Omniverse simulation pipelines
• Large-scale 3D world generation
• Photogrammetry and Gaussian Splatting integration
• Human / vehicle / object simulation
• Multi-sensor simulation (RGB, thermal, low-light, etc.)
• Automatic labeling and annotation pipelines
• Procedural scene generation
• Generative AI pipelines for 3D assets and synthetic variation

You will work across the entire stack:

3D assets → simulation → rendering → labels → datasets → AI pipelines

Responsibilities

Synthetic Data & Simulation

• Build scalable synthetic-data generation systems
• Generate labeled datasets automatically from 3D environments
• Create procedural scene-generation pipelines
• Develop domain-randomization and hard-negative generation systems
• Simulate operational viewpoints such as drones, PTZ cameras, and aerial systems

3D & Rendering Pipelines

• Build and manage large 3D worlds and environments
• Integrate dynamic humans, vehicles, objects, and environmental effects
• Work with:
• Unreal Engine
• Isaac Sim / Omniverse
• Blender / BlenderProc
• Photogrammetric environments
• Gaussian Splatting / NeRF systems

Human & Object Generation

Build controllable pipelines for:

• humans
• crowds
• uniforms
• weapons

GenAI for 3D

Use modern GenAI systems to accelerate:

• 3D asset generation
• texture generation
• synthetic variation
• scene generation
• reconstruction pipelines

Potential tools include:

• Tripo3D / TripoSR
• Hunyuan3D
• TRELLIS
• Meshy
• Luma AI
• SAM-3D
• additional emerging systems

Automation & Infrastructure

• Build automatic rendering and labeling pipelines

Generate:

• bounding boxes
• segmentation masks
• tracking labels
• depth maps
• metadata
• synthetic videos
• Build systems that scale beyond manual content creation

Requirements

We care far more about capability and execution than formal years of experience.

The ideal candidate is someone who:

• learns extremely fast
• uses AI tools heavily
• can independently build complete systems
• is highly technical and hands-on
• can move from prototype to production

Strongly Desired Skills

• Unreal Engine
• Isaac Sim / Omniverse
• Blender
• Strong Python programming skills
• Experience with:
• synthetic data generation
• rendering pipelines
• photogrammetry
• Gaussian splatting
• NeRFs
• mesh processing
• 3D reconstruction
• Ability to automate and script complex workflows

Strong Advantages

• Experience with Omniverse / Isaac Sim
• Experience with Unreal simulation systems
• Experience with BlenderProc
• Experience generating synthetic datasets for AI
• Experience with drone / aerial simulation
• Experience with multi-sensor simulation
• Experience using GenAI systems for 3D workflows