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Quantum Computing Researcher 2026

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing breakthroughs for 2026. We seek a visionary Quantum Computing Researcher to develop next-gen algorithms and systems that will redefine computational boundaries. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin facility, where your work will directly impact fields from drug discovery to climate modeling.

Why Nexus Labs? Our 2026 Initiative offers unparalleled resources, including access to 1000-qubit processors and dedicated R&D budgets exceeding $50M annually. We provide relocation packages, equity participation, and flexible hybrid work arrangements for our Austin-based team.

Responsibilities

  • Design and implement quantum algorithms for real-world applications
  • Lead research projects on quantum error correction and scalability
  • Collaborate with hardware teams to optimize quantum system performance
  • Publish breakthrough research in top-tier journals and conferences
  • Secure federal and private research grants for 2026 quantum initiatives
  • Mentor junior researchers and develop quantum computing curricula
  • Partner with Fortune 500 companies on quantum adoption roadmaps

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 3+ years experience with quantum programming (Qiskit, Cirq, or Q#)
  • Published research in quantum algorithms or quantum information theory
  • Expertise in quantum error correction and fault-tolerant systems
  • Strong background in linear algebra and computational complexity
  • Experience with superconducting or photonic quantum hardware
  • Ability to secure competitive research funding
  • Excellent presentation skills for technical and non-technical audiences

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Quantum Error Correction Superconducting Qubits Machine Learning Linear Algebra Research Grants

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