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Artificial Intelligence 🏢 Full Time ⭐️ Verified

Principal Quantum AI Architect (2026 Vision)

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join the Architects of Tomorrow.

Nexus Horizon is at the forefront of defining the technological landscape for the year 2026 and beyond. We are seeking a visionary Principal Quantum AI Architect to lead our research into hybrid computing models and next-generation artificial intelligence. This is not just a job; it is an opportunity to shape the future of computation.

Why Nexus Horizon?

  • Impact: Work on projects that redefine the boundaries of what is possible with data.
  • Autonomy: Lead a high-performing R&D team with significant creative freedom.
  • Growth: Exclusive access to cutting-edge quantum hardware and training programs.

If you are ready to bridge the gap between classical AI and quantum supremacy, we want to hear from you.

Responsibilities

  • Architect Development: Design and implement complex quantum algorithms integrated with classical machine learning frameworks.
  • R&D Leadership: Lead a team of engineers and data scientists in exploring new quantum states and neural network topologies.
  • Hardware Collaboration: Work closely with hardware engineers to optimize software for emerging quantum processors.
  • Strategic Planning: Define the technical roadmap for Nexus Horizon’s AI capabilities leading up to the 2026 era.
  • Mentorship: Provide technical mentorship to junior staff and foster a culture of innovation and excellence.
  • Patent Strategy: Lead efforts in documenting and filing patents for novel quantum computing techniques.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related technical field with a focus on Quantum Computing or Artificial Intelligence.
  • Experience: 8+ years of experience in software engineering and machine learning, with at least 3 years in a lead or architect role.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and quantum SDKs such as Qiskit, Cirq, or PennyLane.
  • Knowledge: Deep understanding of linear algebra, quantum mechanics principles, and neural network architectures.
  • Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts for diverse stakeholders.
  • Passion: A demonstrated passion for the future of technology and a track record of driving innovation.

Required Skills

Quantum Computing Python TensorFlow Machine Learning Algorithm Design Cloud Architecture R&D Quantum Machine Learning (QML)

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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