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Senior Quantum AI Architect | San Francisco, CA

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to define the future of computing?

Nexus Future Systems is pioneering the next generation of cognitive intelligence. We are seeking a visionary Senior Quantum AI Architect to lead the development of hybrid algorithms that bridge classical machine learning with quantum supremacy. If you are passionate about solving the world's most complex problems using next-generation technology, we want to hear from you.

In this role, you will design scalable quantum neural networks, optimize quantum circuits for real-world data processing, and mentor a team of brilliant engineers. Join us in shaping the technological landscape of 2026 and beyond.

Responsibilities

  • Design and architect hybrid quantum-classical algorithms tailored for enterprise-scale data processing.
  • Lead the integration of quantum hardware (QPU) with classical software stacks to optimize performance and error correction.
  • Conduct rigorous research into quantum error mitigation and noise reduction techniques.
  • Collaborate with cross-functional teams to translate complex scientific requirements into robust technical solutions.
  • Mentor junior architects and engineers, fostering a culture of innovation and continuous learning.
  • Stay at the forefront of quantum computing advancements and evaluate emerging technologies for feasibility.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Computing or Artificial Intelligence.
  • 5+ years of experience in software architecture, machine learning, and data engineering.
  • Hands-on experience with quantum programming frameworks such as Qiskit, Cirq, or PyQuil.
  • Proficiency in Python, TensorFlow, PyTorch, and high-performance computing environments.
  • Strong understanding of linear algebra, probability theory, and statistical mechanics.
  • Demonstrated ability to work in fast-paced, agile environments and manage complex project lifecycles.

Required Skills

Quantum Computing Machine Learning Python Qiskit Cirq TensorFlow PyTorch Cloud Architecture High-Performance Computing Algorithms

Ready to Take This Challenge?

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