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Quantum AI Systems Architect

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum-integrated AI systems for 2026 and beyond. We're seeking visionary Quantum AI Systems Architects to build the next generation of intelligent computing infrastructure. This role offers the opportunity to shape human-machine interaction paradigms, work with Nobel Prize-winning researchers, and contribute to breakthroughs in computational complexity and machine learning optimization.

Our multidisciplinary teams collaborate in state-of-the-art laboratories across Silicon Valley, with competitive benefits including equity, flexible work arrangements, and continuous learning stipends. As an industry leader in post-quantum cryptography and neuromorphic computing, we offer unparalleled career growth in one of the world's most dynamic tech ecosystems.

Responsibilities

  • Design and implement quantum neural network architectures for next-generation AI systems
  • Develop hybrid quantum-classical computing pipelines for real-time data processing
  • Lead research initiatives in quantum machine learning algorithms and optimization techniques
  • Collaborate with hardware teams to design quantum-resistant security protocols
  • Translate theoretical quantum computing models into scalable production solutions
  • Mentor junior researchers and publish findings in top-tier scientific journals
  • Drive innovation in quantum error correction and fault-tolerant system design

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or Computer Science with 5+ years industry experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
  • Proven track record in publishing quantum AI research in peer-reviewed journals
  • Deep understanding of quantum machine learning algorithms and variational quantum circuits
  • Strong background in high-performance computing and distributed systems architecture
  • Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
  • Demonstrated ability to lead cross-functional technical teams and complex projects
  • Knowledge of post-quantum cryptographic standards (NIST PQC project)

Required Skills

Quantum Computing Machine Learning Neural Networks Cryptography Python C++ Qiskit Q# High-Performance Computing Theoretical Physics

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