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2026 Quantum Computing Researcher

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Labs at the forefront of quantum innovation as we pioneer breakthrough technologies for 2026 and beyond. We're seeking a visionary Quantum Computing Researcher to develop next-gen algorithms and solve previously impossible computational challenges. Our Austin-based lab offers cutting-edge resources, collaborative teams, and the opportunity to shape the future of quantum technology.

Why Nexus Labs? Work alongside Nobel laureates in our state-of-the-art facility, with competitive compensation, equity, and flexible hybrid work arrangements. We invest in your growth through sponsored PhD programs and industry conference participation.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Lead experimental validation of quantum circuits on superconducting and photonic platforms
  • Collaborate with hardware teams to mitigate quantum decoherence and error correction
  • Publish peer-reviewed research and present findings at top-tier conferences
  • Develop quantum machine learning frameworks for 2026-era applications
  • Mentor junior researchers and cross-functional engineering teams

Qualifications

  • PhD in Quantum Computing, Physics, or related field (or equivalent industry experience)
  • Expertise in quantum circuit design and gate-level optimization
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Strong background in linear algebra and quantum information theory
  • Publication record in quantum computing or high-energy physics
  • Demonstrated experience with cryogenic quantum systems or photonic setups
  • Ability to translate complex quantum concepts for interdisciplinary teams

Required Skills

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

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