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Senior AI & Spatial Computing Engineer - 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Nexus Future Labs as we pioneer the convergence of Artificial Intelligence and Spatial Computing. In 2026, we are not just building applications; we are architecting the next evolution of human interaction. We are seeking a visionary Senior Engineer to lead our cutting-edge projects in Neural Interfaces and Haptic Feedback Systems.

Why join us?

  • Work on projects that define the trajectory of technology in the next decade.
  • Collaborate with world-class researchers in a state-of-the-art facility.
  • Competitive compensation and equity packages.

Key Objectives:

You will be at the forefront of integrating Large Language Models (LLMs) with real-time spatial mapping, creating immersive environments that adapt dynamically to user behavior. This is a high-impact role requiring a blend of deep technical expertise and creative problem-solving.

Responsibilities

  • Design and implement high-performance algorithms for spatial data processing and object recognition in AR/VR environments.
  • Integrate generative AI models into real-time spatial computing pipelines to enhance user immersion.
  • Optimize neural network architectures for edge computing devices with strict latency requirements.
  • Develop haptic feedback algorithms to simulate physical interactions within digital spaces.
  • Ensure robust data security and privacy compliance for decentralized AI nodes.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.

Qualifications

  • Master’s or PhD degree in Computer Science, Robotics, or a related technical field.
  • Minimum of 5 years of professional experience in AI, Machine Learning, or Spatial Computing.
  • Proficiency in programming languages such as C++, Python, and JavaScript (Three.js/React).
  • Strong experience with Unreal Engine 5 or Unity for 3D rendering and simulation.
  • Deep understanding of computer vision, sensor fusion, and 3D geometry.
  • Experience deploying scalable machine learning models to cloud and edge environments.

Required Skills

Artificial Intelligence Spatial Computing Machine Learning C++ Python WebGL Unreal Engine 5 Neural Networks Augmented Reality Computer Vision

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