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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of quantum revolution. We're pioneering the next generation of computational paradigms that will redefine technology's trajectory. As a Quantum Computing Research Scientist, you'll collaborate with Nobel laureates and industry pioneers to develop scalable quantum algorithms and error correction methodologies. Our Austin campus features state-of-the-art cryogenic labs and 24/7 quantum cloud infrastructure.

We offer competitive equity packages, unlimited R&D budgets, and sabbatical programs for breakthrough research. Your work will directly impact fields from drug discovery to climate modeling, with publication opportunities in Nature and Science.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop quantum error correction protocols for fault-tolerant systems
  • Lead experimental validation of quantum supremacy claims using 1000+ qubit processors
  • Collaborate with hardware teams to co-design quantum-classical hybrid architectures
  • Publish peer-reviewed research and present at international conferences
  • Mentor junior researchers in quantum information theory
  • Secure government and industry grants for advanced quantum projects

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years postdoc experience
  • Published research in top-tier quantum computing journals (Nature/Science/PRX)
  • Expertise in quantum circuit design and Qiskit/Cirq frameworks
  • Proficiency with cryogenic systems and microwave control electronics
  • Demonstrated ability to secure NSF/DoE grants exceeding $500K
  • Experience mentoring interdisciplinary research teams
  • Strong background in topological quantum computing or bosonic codes

Required Skills

quantum computing quantum algorithms error correction cryogenics Qiskit Cirq superconducting qubits machine learning

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