Computer Vision Engineer (AI)

TL;DR

Computer Vision Engineer (AI): Leading the design and implementation of real-time perception systems for AI agents in complex game and simulated environments with an accent on transforming video feeds into structured 3D semantic world models. Focus on architecting scalable, production-ready vision pipelines integrated with Unreal Engine and optimizing inference performance for GPU-constrained environments.

Location: Remote (US states: Alaska, Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Maine, Missouri, New Jersey, Nevada, North Carolina, Ohio, Pennsylvania, Texas, Washington, and Wyoming. Los Angeles Area Preferred)

Salary: $140,000–$220,000 Annually

Company

Snail Games USA is a global developer and publisher of digital entertainment focused on creating high-quality online gaming experiences, with its AI initiative Egofold dedicated to building modular AI brain ecosystems for NPC intelligence.

What you will do

• Architect and implement real-time computer vision pipelines for analyzing gameplay video and camera feeds.
• Design systems to convert 2D visual input into structured 3D semantic world models usable by AI agents and NPC systems.
• Integrate perception modules into Unreal Engine–based runtimes and toolchains.
• Optimize inference performance for GPU-constrained, real-time environments.
• Define data collection, evaluation, and iteration strategies for improving perception robustness.
• Collaborate with AI engineers to design perception interfaces that feed behavior trees, agent systems, and decision models.
• Establish long-term technical direction for vision-driven gameplay and simulation features.

Requirements

• 5+ years of professional experience in computer vision, real-time perception, or related fields.
• Advanced degree (Master’s or PhD) in AI, Computer Vision, Robotics, or related field preferred.
• Proven experience building and deploying real-time video perception systems in production environments.
• Strong C++ proficiency and experience integrating systems into game engines or comparable real-time platforms.
• Deep understanding of object detection, tracking, temporal modeling, and 3D scene understanding.
• Experience optimizing models for deployment using CUDA, TensorRT, ONNX, or similar toolchains.
• Proficiency with Unreal Engine, preferably UE4 or UE5.

Nice to have

• Experience with multi-agent simulation, reinforcement learning environments, or game AI systems.
• Familiarity with graphics pipelines (deferred rendering, depth buffers, motion vectors, scene graphs).
• Experience bridging synthetic and real-world datasets.
• Prior experience leading small technical teams or defining system architecture roadmaps.

Culture & Benefits

• True focus on work/life balance.
• Paid company holidays, vacation, and separate sick leave.
• Medical, dental, vision, and Life/LTD insurance.
• 401k with company match.