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Senior Quantum AI Architect | 2026 Visionary Role | San Francisco, CA

Nexus Future Labs
San Francisco
Estimated Salary
USD 250.000 – USD 400.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Nexus Future Labs is pioneering the next generation of computational intelligence, and we are looking for a visionary Senior Quantum AI Architect to lead our 2026 roadmap. As we transition into the era of quantum supremacy, you will be responsible for designing the hybrid architectures that bridge classical machine learning and quantum processing units (QPUs). This is not just a job; it is a mission to define the technological foundation for the future.

In this high-impact role, you will collaborate with world-class researchers to deploy scalable quantum algorithms, optimize quantum error correction, and integrate quantum capabilities into enterprise-grade AI systems. If you are ready to shape the landscape of 2026 and beyond, we want to hear from you.

Responsibilities

  • Lead Quantum Strategy: Define and execute the technical roadmap for quantum AI integration, ensuring readiness for deployment in 2026 and beyond.
  • Architecture Design: Design and implement hybrid quantum-classical models that solve complex optimization and machine learning problems.
  • R&D Leadership: Spearhead research into quantum error mitigation and fault-tolerant computing architectures.
  • System Integration: Oversee the seamless integration of quantum processors with existing cloud infrastructure and classical workflows.
  • Team Mentorship: Mentor a team of junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Stakeholder Communication: Translate complex quantum concepts into actionable strategies for executive leadership and technical stakeholders.

Qualifications

  • Education: Ph.D. in Computer Science, Physics, Mathematics, or a related field with a focus on quantum computing or artificial intelligence.
  • Experience: Minimum of 8+ years of experience in software engineering, machine learning, or systems architecture, with at least 3 years specifically focused on quantum technologies.
  • Tech Stack: Proficiency in Python, C++, and quantum programming frameworks such as Qiskit, Cirq, or PennyLane.
  • Quantum Knowledge: Deep understanding of quantum gates, superposition, entanglement, and quantum algorithms (e.g., QAOA, VQE).
  • Cloud Expertise: Proven track record of deploying solutions on major cloud platforms (AWS, Azure, or Google Cloud) with a focus on specialized hardware.
  • Problem Solving: Exceptional ability to tackle complex, ambiguous problems and derive elegant, scalable solutions.

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Python Qiskit Cirq Cloud Architecture System Design Quantum Algorithms Deep Learning

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