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Lead Future Tech Architect (2026 Horizon)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

We are looking for a visionary Lead Architect to define the technological trajectory for our 2026 Horizon initiative. In this role, you will bridge the gap between cutting-edge research and scalable enterprise implementation, focusing on the convergence of Artificial Intelligence, Quantum Computing, and Advanced Robotics.

Nexus Horizon Labs is committed to pioneering the technology stack of tomorrow. You will be responsible for designing resilient systems that can handle the immense computational demands of next-generation AI models. If you thrive on solving unsolved problems and want to leave a legacy in the future of tech, this is your opportunity.

Responsibilities

  • Design and architect scalable, high-performance systems for the 2026 Horizon initiative, ensuring compatibility with next-gen hardware.
  • Lead the integration of Quantum Computing protocols into existing software pipelines.
  • Oversee the migration of legacy infrastructure to serverless and edge computing architectures.
  • Collaborate with cross-functional teams to define technical requirements and roadmaps for futuristic product features.
  • Mentor senior engineering staff and conduct code reviews to maintain high standards of software quality and security.
  • Research and prototype emerging technologies, including Neural Interfaces and Generative AI models.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in a lead or architect role.
  • Deep expertise in Python, C++, and distributed systems.
  • Strong background in Machine Learning, Deep Learning, and Neural Network architecture.
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
  • Proven track record of managing large-scale projects with budgets exceeding $1M.
  • Master’s degree in Computer Science, Physics, or a related STEM field is preferred.

Required Skills

Python C++ Machine Learning Deep Learning AWS GCP Docker Kubernetes Quantum Computing System Architecture

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