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Information Technology 🏢 Full Time ⭐️ Verified

Futurist Technical Lead: AI & Quantum Systems Architect

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

Shape the Infrastructure of Tomorrow.

Nexus Future Labs is pioneering the technological landscape for the 2026 era. We are seeking a visionary Futurist Technical Lead to architect the next generation of intelligent, quantum-ready systems. If you are passionate about the convergence of Generative AI, Edge Computing, and Ethical Automation, we want to build the future with you.

In this role, you won't just maintain systems; you will define the paradigms of computation for the coming decade. You will bridge the gap between theoretical breakthroughs and scalable, real-world applications.

Responsibilities

  • Architect and lead the development of scalable, high-performance systems optimized for the AI and Quantum computing demands of 2026.
  • Define technical roadmaps that align emerging technologies with business objectives, ensuring long-term scalability and resilience.
  • Cultivate a culture of innovation, mentoring senior engineers and fostering cross-functional collaboration between AI researchers and infrastructure teams.
  • Oversee the integration of autonomous agents and ethical AI frameworks into core product ecosystems.
  • Ensure system security, compliance, and sustainability in the face of rapidly evolving cyber threats.
  • Drive the adoption of next-gen tools, including neuromorphic computing and advanced neural network optimization.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in a technical leadership or architect role.
  • Deep expertise in Python, Rust, or Go, with a demonstrated ability to work with quantum computing libraries (Qiskit, Cirq) or large-scale AI frameworks (TensorFlow, PyTorch).
  • Proven track record of leading teams through complex digital transformations.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/Azure/GCP), and edge computing protocols.
  • Experience with designing systems for low-latency, high-throughput environments.
  • Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Artificial Intelligence Quantum Computing System Architecture Python Rust Cloud Computing Machine Learning Leadership Distributed Systems

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