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Information Technology 🏢 Full Time ⭐️ Verified

Senior 2026 Architect (AI & Spatial Computing)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are pioneering the 2026 Protocol, a revolutionary framework designed to bridge the gap between autonomous AI agents and immersive spatial computing environments. As we move closer to the 2026 technological horizon, we need a visionary Senior Architect to lead our engineering efforts in building the infrastructure of tomorrow.

In this role, you will be responsible for designing scalable, secure, and high-performance systems that support next-generation neural interfaces and decentralized data ecosystems. You will work at the intersection of Generative AI, Spatial Web technologies, and Ethical Computing.

Why Join Nexus Future Systems?

  • Work on cutting-edge technology that defines the next decade of human-computer interaction.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with a hub in San Francisco.
  • Access to state-of-the-art hardware for prototyping.

Responsibilities

  • System Architecture: Design and oversee the implementation of the 2026 Protocol, ensuring high availability and fault tolerance for distributed AI networks.
  • Technical Leadership: Mentor a team of senior engineers and researchers, establishing coding standards and architectural best practices.
  • Innovation: Research and prototype new algorithms for real-time neural rendering and spatial data synchronization.
  • Collaboration: Partner with product managers and UX designers to translate futuristic concepts into viable technical roadmaps.
  • Security & Compliance: Implement rigorous security protocols to protect sensitive neural data and ensure compliance with emerging AI regulations.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Computational Neuroscience, or a related field.
  • Experience: 7+ years of experience in software architecture, with at least 3 years in AI/ML or Spatial Computing.
  • Technical Skills: Proficiency in Python, C++, and Rust; deep understanding of GPU acceleration (CUDA/OpenCL) and neural network frameworks (TensorFlow, PyTorch).
  • Conceptual Knowledge: Demonstrated ability to think critically about future-tech stacks and the implications of the 2026 ecosystem.
  • Problem Solving: Strong track record of solving complex, ambiguous engineering problems in dynamic environments.

Required Skills

Python C++ Rust TensorFlow PyTorch CUDA Spatial Computing Neural Networks System Architecture AI Ethics

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