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Quantum Computing Architect (2026 Initiative)

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Shape the future of computing at Nexus Labs! We're seeking a pioneering Quantum Computing Architect to lead our 2026 initiative, pushing the boundaries of quantum supremacy. This role demands visionary expertise in quantum algorithms, error correction, and scalable system design. Join our elite R&D team in Austin's tech hub, where you'll develop next-gen quantum architectures for Fortune 500 clients in cryptography, materials science, and AI optimization.

We offer unparalleled resources, including access to our quantum annealing lab and collaboration with Nobel laureates. Your work will directly impact industries preparing for the quantum revolution. This is more than a jobβ€”it's your chance to architect solutions for 2026 and beyond.

Responsibilities

  • Design and implement scalable quantum computing architectures for enterprise clients
  • Develop quantum algorithms targeting 2026-era computational challenges
  • Lead cross-functional teams in quantum hardware-software integration
  • Optimize quantum error correction protocols for fault-tolerant systems
  • Partner with clients to solve complex problems in finance, logistics, and biotech
  • Drive innovation in quantum machine learning frameworks
  • Present quantum breakthroughs at industry conferences and white papers

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (MS with 8+ years experience)
  • Expertise in quantum circuit design and assembly language
  • Proven experience with quantum annealing or gate-based systems
  • Strong background in C++/Python for quantum simulation
  • Published research in quantum algorithms or error correction
  • Experience with quantum cloud platforms (IBM Q, Rigetti, D-Wave)
  • Demonstrated ability to lead technical R&D teams

Required Skills

Quantum Computing Quantum Algorithms Error Correction C++ Python Qiskit Quantum Machine Learning Cryptography

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