Simulation Engineer

Level

Middle

Department

Other IT Positions

Type

Full Time

Project

NDA

Locations:

Georgia

On-site

Job Details

Posted on:

July 2, 2026

Job ID:

5OTsEq

About the Company

Established in 2004, ALLSTARSIT was founded with a clear vision: to enhance the landscape of global IT employment by bridging the gap between companies and skilled professionals. The core belief was that assembling a team shouldn't be hindered by geographical constraints. Fast forward to the present day, ALLSTARSIT stands as an international outstaffing service provider committed to change the way businesses recruit, compensate, and oversee top talent worldwide.

With operational hubs scattered across Europe, Asia, and LATAM, and its headquarters situated in San Francisco, US, the company boasts a workforce of over 1,000 adept professionals. Spanning across more than 20 countries, ALLSTARSIT offers a diverse range of skilled employees across various verticals, including AI, cybersecurity, healthcare, fintech, telecom, media, and so on.

About the Project

We are looking for a Simulation Engineer to work on our CARLA-based simulator, which communicates with our AI Driver and activates the vehicle in a closed simulation loop.
Your main goal will be to create realistic simulated driving environments that allow engineers to test algorithms in the lab before road testing, reducing time on-road and identifying bugs early.
You will also collaborate closely with the Perception Team to generate synthetic camera data for AI model training. This includes designing six synchronized camera views, running scenarios, capturing images, compiling video sequences, and delivering structured datasets.

Specialization

Headquarters

Years on the market

Team size and structure

Current technology stack

Required skills:

BSc in Computer Science or Electronics – Must
Strong Python programming skills (must understand every line of code)
Solid understanding of design patterns and software architecture
Working knowledge of simulation systems
Internship/commercial experience in Computer Vision, Image Processing, Deep Learning, Neural Networks, Motion Planning, or related fields
Understanding of AI training concepts (epochs, training errors, synthetic vs. real data)
Team player with strong interpersonal skills
Fluent English
Bright, self-learner comfortable working with AI agents

Scope of work:

Create realistic simulated driving environments for testing algorithms in the lab.
Collaborate with the Perception Team to generate synthetic camera data for AI model training.
Design six synchronized camera views, run scenarios, capture images, compile video sequences, and deliver structured datasets.
Manage resources and understand the interaction between simulation, software, hardware, and AI systems.