Computer Vision Engineer (Senior to Lead)
About The Position
About Snail Games USA Snail Games strives to create the new high bar for gameplay experience in online gaming. We have been a global developer and publisher of digital entertainment since 2009 and are committed to pushing the boundaries of the industry. About Egofold Egofold is an AI initiative within Snail Games focused on building a modular AI “brain” ecosystem for NPC intelligence, real-time perception systems, and simulation tooling across multiple game projects. About the Role We are seeking a Computer Vision Architect to lead the design and implementation of a real-time perception system that enables AI agents to understand and operate within complex game and simulated environments. This role will define how video, gameplay capture, and camera feeds are transformed into structured world representations that power intelligent NPC behavior and AI-driven systems within the Egofold ecosystem. You will work closely with engine, AI, and gameplay teams to architect scalable, production-ready vision pipelines integrated with Unreal Engine–based projects.
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.
- Unreal Engine Experience: Proficiency with Unreal Engine, preferably UE4 or UE5.
Nice To Haves
- 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.
Responsibilities
- Architect and implement real-time computer vision pipelines for analyzing gameplay video and camera feeds.
- Design systems that 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.
Benefits
- True focus on work/life balance
- Paid company holidays, vacation, and separate sick leave
- Medical, dental, vision, and Life/LTD
- 401k with company match
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What This Job Offers
Job Type
Full-time
Career Level
Senior
