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Lead Architect: Next-Gen AI & Spatial Computing (2026)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

The Future is Calling. Nexus Horizon Labs is pioneering the infrastructure for the year 2026. We are looking for a visionary Lead Architect to spearhead the integration of Agentic AI, Spatial Computing, and Quantum-ready Web3 protocols. If you are passionate about building systems that don't just exist, but evolve, this is your opportunity to define the next generation of human-computer interaction.


As a key member of our elite R&D division, you will bridge the gap between theoretical AI research and tangible, scalable applications. We are building the operating system for a metaverse-native workforce, and we need a master builder to lead the charge.

Responsibilities

  • Architect Next-Gen AI Pipelines: Design and implement scalable, high-throughput inference engines for Large Language Models (LLMs) optimized for edge computing and 2026 latency standards.
  • Spatial Interface Development: Lead the technical direction for AR/VR integration, ensuring seamless 3D rendering and haptic feedback loops.
  • Quantum-Ready Algorithms: Develop and prototype algorithms that transition seamlessly between classical and quantum processing units.
  • Security & Privacy by Design: Implement zero-knowledge proofs and advanced cryptographic standards to protect autonomous agent data streams.
  • Cross-Functional Leadership: Mentor a team of junior researchers and engineers, fostering a culture of innovation and rapid prototyping.
  • Technical Strategy: Define the technical roadmap for our "2026 Stack," identifying emerging technologies like Neural Rendering and Brain-Computer Interfaces.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 7+ years of experience in software architecture, with at least 3 years specifically in AI/ML or Spatial Computing.
  • Technical Mastery: Deep proficiency in Python, Rust, and C++. Experience with WebGPU and WebGL is highly desirable.
  • Agentic AI: Proven track record of working with autonomous agents, multi-agent systems, or complex LLM orchestration frameworks.
  • Adaptability: Ability to thrive in a fast-paced, experimental environment where standards are defined as we go.
  • Communication: Exceptional ability to translate complex technical concepts into strategic business value for stakeholders.

Required Skills

Generative AI Spatial Computing WebGPU Rust Python LLMs Quantum Computing Neural Networks Cloud Architecture AR/VR Blockchain Zero-Knowledge Proofs

Ready to Take This Challenge?

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