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Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 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 Research Scientist to develop breakthrough quantum algorithms and accelerate the next era of computational power. In this role, you'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges—from drug discovery to climate modeling. Our Austin campus features state-of-the-art quantum processors and unparalleled R&D resources. We offer equity, flexible scheduling, and dedicated innovation time to fuel your groundbreaking work.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Lead cross-functional teams to integrate quantum-classical hybrid systems
  • Publish peer-reviewed research in top-tier journals and conferences
  • Develop error mitigation techniques for practical quantum applications
  • Collaborate with hardware teams to co-design next-generation quantum processors
  • Secure external research funding through NSF and DARPA proposals
  • Mentor junior researchers and foster quantum computing talent pipeline

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Published research in quantum information science or related fields
  • Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
  • Strong background in linear algebra, probability, and computational complexity
  • Proven track record of translating theoretical concepts into practical implementations
  • Experience with quantum error correction and fault-tolerant architectures
  • Demonstrated ability to secure competitive research grants

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Quantum Error Correction Linear Algebra Computational Physics Machine Learning Research Methodology Python High-Performance Computing

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