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Quantum Computing Architect

Nexus Quantum Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of computational revolution. We're seeking a visionary Quantum Computing Architect to design the next generation of quantum systems that will redefine technology by 2026. Lead groundbreaking research, pioneer scalable quantum architectures, and collaborate with Nobel laureates to solve humanity's most complex challenges. This role offers unparalleled resources and the opportunity to shape the quantum landscape.

Our Austin campus features state-of-the-art quantum labs, unlimited R&D budgets, and a culture where innovation thrives. Enjoy comprehensive benefits including equity, wellness stipends, and flexible work arrangements designed for peak productivity.

Responsibilities

  • Design scalable quantum computing architectures capable of 10,000+ qubit operations by 2026
  • Develop error-correction frameworks for fault-tolerant quantum systems
  • Lead cross-disciplinary teams of physicists, engineers, and software developers
  • Collaborate with academic institutions on quantum supremacy breakthroughs
  • Create patentable quantum algorithms for cryptography and optimization
  • Establish industry standards for quantum hardware integration
  • Present findings at global quantum technology summits

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (Master's with 8+ years experience)
  • 5+ years in quantum hardware/software architecture
  • Published research in Nature/Science or equivalent peer-reviewed journals
  • Expertise in quantum error correction and fault tolerance
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, etc.)
  • Experience leading quantum algorithm development
  • Track record of securing research grants or patents

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Fault-Tolerant Systems Quantum Hardware Cryogenics Machine Learning High-Performance Computing

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