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Future Tech Architect 2026 | AI & Spatial Computing Specialist

Nova Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Shape the Future with Nova Horizon Labs.

We are seeking a visionary Future Tech Architect 2026 to lead our R&D division. In an industry defined by rapid evolution, we are looking for a technical leader who doesn't just follow trends but defines them. You will be responsible for architecting the neural and computational infrastructure that will power the next generation of human-machine interfaces.

This is a rare opportunity to work on bleeding-edge technology, pushing the boundaries of what is possible in Generative AI and Spatial Computing. You will collaborate with world-class engineers to build scalable systems designed to thrive in the dynamic landscape of 2026 and beyond.

Responsibilities

  • Lead AI Infrastructure Design: Spearhead the architectural design of scalable, high-performance machine learning systems capable of real-time spatial data processing.
  • Pioneer Spatial Integration: Develop middleware and APIs that bridge advanced neural networks with AR/VR and haptic feedback hardware ecosystems.
  • Future-Proof Development: Implement adaptive software architectures that remain robust against rapid technological shifts and regulatory changes expected in 2026.
  • Technical Strategy: Conduct feasibility studies on emerging tech trends, including brain-computer interfaces and synthetic environments, and prototype viable solutions.
  • Code Optimization: Write and maintain high-performance, clean code in Python, C++, and Rust, focusing on latency reduction and throughput maximization.
  • Cross-Functional Leadership: Partner with UX researchers and product managers to translate complex AI capabilities into intuitive, user-centric experiences.

Qualifications

  • Education: Master’s degree in Computer Science, Artificial Intelligence, Robotics, or a related technical field (PhD preferred).
  • Experience: Minimum of 5 years of professional experience in software engineering with a focus on AI, Machine Learning, or High-Performance Computing.
  • Core Tech Stack: Proficiency in Python, C++, and Rust. Deep experience with PyTorch, TensorFlow, or similar deep learning frameworks.
  • Spatial Tech: Demonstrated experience with Unity or Unreal Engine for spatial UI development and 3D rendering.
  • Problem Solving: Proven ability to solve complex, unstructured engineering problems and navigate ambiguity in fast-paced environments.
  • Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Spatial Computing C++ Python Unreal Engine Unity Neural Networks High-Performance Computing System Architecture R&D

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