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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Metaverse Architect

Quantum Leap Dynamics
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are pioneering the digital frontier of 2026 and beyond. Quantum Leap Dynamics is seeking a visionary Senior AI & Metaverse Architect to lead the development of next-generation immersive digital realities. You will bridge the gap between advanced machine learning algorithms and high-fidelity 3D environments, creating experiences that redefine human interaction in the metaverse.


Why Join Us?
• Work on cutting-edge projects that shape the future of the internet.
• Competitive equity package and comprehensive benefits.
• Flexible remote-first culture with quarterly in-person innovation summits.

Responsibilities

  • Architect and implement scalable neural rendering engines for real-time 3D environments.
  • Collaborate with cross-functional teams to integrate Generative AI models into interactive metaverse platforms.
  • Optimize rendering pipelines and AI inference latency for seamless user experiences.
  • Lead code reviews and mentor junior engineers in best practices for distributed systems.
  • Research emerging technologies including Spatial Computing and Neural Interfaces.
  • Define technical roadmaps for the company’s future product lines.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related field (or equivalent experience).
  • 7+ years of professional experience in software engineering, with a focus on AI or graphics.
  • Proficiency in Python, C++, and modern WebGL/Three.js technologies.
  • Deep understanding of Machine Learning frameworks (TensorFlow, PyTorch) applied to computer vision.
  • Experience with Unreal Engine 5 or Unity 3D for spatial computing applications.
  • Strong problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

Python C++ Unreal Engine 5 Machine Learning WebGL Spatial Computing Neural Networks CUDA

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