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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Researcher

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 280.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Researcher to develop next-generation algorithms and hardware architectures that will redefine computational boundaries. This role offers unparalleled opportunity to shape the future of AI, cryptography, and complex system modeling.

As a key member of our R&D division, you'll collaborate with Nobel laureates and industry pioneers in a state-of-the-art facility. We provide competitive equity packages, unlimited R&D budget, and flexible work arrangements designed for peak innovation.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Develop error-correction protocols for scalable quantum systems
  • Lead cross-functional teams to prototype quantum hardware solutions
  • Publish breakthrough research in top-tier journals and conferences
  • Secure government and private funding for quantum computing initiatives
  • Mentor junior researchers and foster collaborative innovation culture
  • Translate theoretical concepts into commercializable quantum technologies

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (post-doc preferred)
  • 5+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Published work in quantum algorithm development or hardware
  • Deep understanding of quantum decoherence and error correction
  • Experience with high-performance computing clusters
  • Strong track record of securing research funding
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Qiskit Cirq Q# Algorithm Design Cryogenics Superconducting Circuits Machine Learning High-Performance Computing

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