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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as a Quantum Computing Research Scientist. We're pioneering breakthroughs that will redefine computing by 2026, and we need visionary minds to accelerate our mission. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin R&D facility, working on projects that could solve humanity's most complex challenges—from drug discovery to climate modeling. This isn't just a job; it's your chance to shape the quantum-powered future.

We offer competitive compensation, equity grants, flexible work arrangements, and unparalleled opportunities for professional growth. Our culture celebrates intellectual curiosity and bold experimentation.

Responsibilities

  • Lead quantum algorithm development for next-generation computing architectures
  • Design and execute experiments on 100+ qubit quantum processors
  • Collaborate with hardware teams to optimize quantum error correction protocols
  • Publish peer-reviewed research in top-tier journals/conferences
  • Mentor junior researchers and cross-functional engineering teams
  • Secure federal and private research grants for quantum initiatives

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum focus
  • 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq)
  • Published research in quantum information science or topological computing
  • Expertise in quantum error correction and fault-tolerant architectures
  • Strong background in linear algebra, complex analysis, and computational physics
  • Experience with cryogenic quantum systems or superconducting qubits
  • Proven ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Qiskit Cirq Cryogenics Superconducting Qubits Quantum Error Correction Topological Computing Research Methodology Linear Algebra Fault-Tolerant Systems

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