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Quantum Computing Architect

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

Job Description

Join Nexus Quantum Solutions at the forefront of technological revolution as we pioneer the next era of computational power. We're seeking visionary Quantum Computing Architects to design and implement scalable quantum systems that will redefine industries by 2026. This role offers unparalleled opportunities to shape the future of AI, cryptography, and materials science while working with Nobel Prize-winning researchers in our state-of-the-art San Francisco lab.

We provide competitive equity packages, unlimited PTO, and comprehensive wellness programs including mindfulness training and biometric monitoring. Our innovation-driven culture encourages moonshot thinking while maintaining rigorous engineering standards.

Responsibilities

  • Design fault-tolerant quantum algorithms and error-correction protocols for scalable quantum processors
  • Lead cross-functional teams in developing hybrid quantum-classical computing frameworks
  • Optimize quantum circuits for real-world applications in drug discovery and financial modeling
  • Architect secure quantum communication networks resistant to emerging cyber threats
  • Collaborate with hardware teams to co-design quantum processors with 100+ qubit capabilities
  • Develop quantum machine learning pipelines for predictive analytics and pattern recognition
  • Contribute to open-source quantum computing frameworks and industry standards

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years of quantum computing experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and quantum circuit optimization
  • Deep understanding of quantum error correction and fault-tolerance techniques
  • Published research in peer-reviewed quantum computing journals or conferences
  • Expertise in high-performance computing architectures and parallel processing
  • Strong background in machine learning and statistical analysis
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Proven track record of leading complex R&D projects from concept to deployment

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Q# Machine Learning High-Performance Computing Cryptography Quantum Hardware Python C++ Research Leadership

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