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Quantum Computing Architect

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
31 Mei 2026
Deadline
31 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we prepare for the quantum revolution of 2026. We're seeking a visionary Quantum Computing Architect to design next-gen computational frameworks that will redefine industries. This role offers the unique opportunity to shape the future of technology while working with cutting-edge quantum systems and AI-driven optimization tools. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art research facility, where innovation isn't just encouraged—it's our DNA.

Responsibilities

  • Design and implement scalable quantum computing architectures for commercial applications
  • Develop hybrid quantum-classical algorithms for complex problem-solving
  • Lead cross-functional teams to integrate quantum solutions into existing tech ecosystems
  • Conduct research on quantum error correction and fault-tolerant systems
  • Collaborate with AI/ML teams to create quantum-enhanced machine learning models
  • Present breakthrough findings at international tech conferences and industry summits
  • Mentor junior researchers and publish findings in leading scientific journals

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 5+ years experience in quantum computing architecture or research
  • Expertise in quantum algorithms, quantum gates, and circuit design
  • Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in theoretical physics and computational complexity
  • Experience with high-performance computing environments and distributed systems
  • Proven track record of publishing peer-reviewed quantum computing research
  • Excellent communication skills for translating complex concepts to stakeholders

Required Skills

Quantum Computing Quantum Algorithms Q# Qiskit Cirq Theoretical Physics Machine Learning High-Performance Computing Fault-Tolerant Systems

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