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Quantum AI Systems Architect

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

Job Description

Join Nexus Quantum Solutions at the forefront of 2026's technological revolution as we pioneer the next generation of AI-Quantum hybrid systems. We're seeking visionary Quantum AI Systems Architects to design and deploy cutting-edge solutions that redefine computational boundaries. This role offers unparalleled opportunities to shape the future of artificial intelligence through quantum integration, working alongside world-class researchers in our state-of-the-art San Francisco lab.

Why Nexus Quantum Solutions? We're not just building technology—we're creating paradigms. Our team of Nobel laureates and industry pioneers offers mentorship that accelerates careers, while our equity-sharing program ensures you share in our exponential growth. Enjoy flexible schedules, unlimited learning stipends, and the autonomy to transform theoretical breakthroughs into real-world applications.

Responsibilities

  • Design scalable quantum-AI hybrid architectures leveraging Qiskit and TensorFlow Quantum
  • Develop error-correction protocols for quantum neural networks
  • Lead cross-functional teams in deploying quantum-enhanced machine learning pipelines
  • Research and implement novel quantum algorithms for optimization problems
  • Collaborate with hardware teams to optimize quantum-classical interfaces
  • Translate complex quantum concepts into actionable engineering specifications
  • Drive innovation through quarterly quantum-AI hackathons and research publications

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 5+ years in quantum algorithm development or quantum machine learning
  • Expertise in quantum error correction and fault-tolerant systems
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in distributed computing and high-performance systems
  • Published research in top-tier quantum computing conferences (e.g., QIP, APS March Meeting)
  • Experience with quantum hardware integration (IBM Quantum, Rigetti, etc.)
  • Certification in quantum cloud platforms (AWS Braket, Azure Quantum)

Required Skills

Quantum Computing Machine Learning Qiskit TensorFlow Quantum Quantum Error Correction Distributed Systems Q# Cirq Fault-Tolerant Quantum Computing Quantum Hardware Integration

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