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Quantum Computing Research Lead - 2026 Vision

Nexus Quantum Labs
Austin
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're seeking a visionary Quantum Computing Research Lead to architect the next generation of computational paradigms. This role pioneers breakthroughs in quantum algorithms, error correction, and scalable quantum systems that will redefine industries. Collaborate with Nobel laureates, publish groundbreaking research, and shape the future of quantum supremacy. Our Austin campus offers state-of-the-art labs, unlimited compute resources, and a culture where innovation thrives. If you're driven to solve humanity's most complex challenges through quantum mechanics, this is your legacy-defining opportunity.

Responsibilities

  • Design and implement novel quantum algorithms for optimization, cryptography, and machine learning applications
  • Lead cross-functional teams in developing fault-tolerant quantum processors and error correction protocols
  • Drive strategic research partnerships with academic institutions and quantum hardware pioneers
  • Publish peer-reviewed papers and present findings at top-tier conferences (QIP, APS March Meeting)
  • Translate theoretical quantum models into practical implementations on quantum annealing and gate-based systems
  • Secure patents for quantum methodologies and contribute to open-source quantum frameworks
  • Mentor junior researchers and establish quantum computing best practices for 2026 deployment

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years industry research experience
  • Published work in quantum algorithms, quantum information theory, or quantum error correction
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and high-performance computing environments
  • Expertise in quantum hardware architectures (superconducting qubits, trapped ions, photonics)
  • Track record of securing research grants ($1M+) from DARPA, NSF, or industry consortia
  • Strong background in machine learning and classical-quantum hybrid systems
  • Experience with quantum simulation tools (QASM, Quil, TensorFlow Quantum)

Required Skills

Quantum Computing Quantum Algorithms Error Correction Machine Learning Qiskit Cirq Q# Superconducting Qubits Quantum Simulation

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