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Senior AI & Spatial Computing Architect (2026 Vision)

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

Job Description

We are seeking a visionary Senior AI & Spatial Computing Architect to lead our 2026 technology roadmap. In this pivotal role, you will define the architecture for next-generation generative AI and spatial computing solutions that will redefine human-computer interaction. You will work at the intersection of machine learning, 3D graphics, and distributed systems to build scalable, high-performance applications that prepare us for the future of digital reality.

Why Join Us?
We are a fast-paced, elite engineering team backed by top-tier VC funding. Our mission is to solve the hardest problems in AI adoption and spatial integration. You will have the autonomy to experiment, innovate, and ship products that impact millions globally.

Responsibilities

  • Lead the design and implementation of cutting-edge AI models and spatial computing frameworks.
  • Optimize machine learning pipelines for low-latency, high-throughput performance in edge environments.
  • Collaborate closely with product managers, designers, and backend engineers to translate complex requirements into technical specifications.
  • Establish best practices for AI ethics, data privacy, and model governance.
  • Mentor junior engineers and conduct rigorous code reviews to maintain high technical standards.
  • Research emerging trends in LLMs, vector databases, and WebXR to stay ahead of the industry curve.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep proficiency in Python, PyTorch, or TensorFlow.
  • Experience with 3D graphics, computer vision, or spatial computing (e.g., WebXR, Unity, Unreal Engine).
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
  • Proven track record of shipping production-grade AI applications.

Required Skills

Python Machine Learning Spatial Computing Cloud Architecture TensorFlow PyTorch Distributed Systems AI Ethics

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