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2026 Quantum Computing Architect

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join the forefront of technological evolution as a 2026 Quantum Computing Architect at Nexus Future Labs. We're pioneering the next generation of quantum systems that will redefine computation by 2026. This role demands a visionary who can translate quantum theory into scalable, real-world architectures while pushing the boundaries of what's possible.

You'll lead the design of fault-tolerant quantum processors, develop hybrid quantum-classical frameworks, and collaborate with Nobel laureates to solve humanity's most complex challenges. If you thrive at the intersection of physics, computer science, and cutting-edge engineering, this is your moment to shape the future.

Responsibilities

  • Design scalable quantum computing architectures with 100+ qubit coherence
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Lead hybrid quantum-classical algorithm development for enterprise applications
  • Collaborate with hardware teams to optimize cryogenic control systems
  • Define quantum security frameworks for post-quantum cryptography
  • Present quantum roadmaps to C-suite executives and strategic partners
  • Mentor quantum engineering talent in emerging technologies

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (MS with exceptional experience considered)
  • 5+ years in quantum computing architecture or quantum algorithm design
  • Published research in Nature/Science on quantum systems or error correction
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Deep understanding of quantum decoherence and topological qubits
  • Experience with quantum cloud platforms (IBM Quantum, Amazon Braket)
  • Proven track record of leading complex technical initiatives

Required Skills

Quantum Computing Quantum Algorithms Fault-Tolerant Design Cryogenics Quantum Cryptography Qiskit Q# Topological Qubits Machine Learning

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