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Quantum Computing Research Scientist

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. Our Austin-based research hub is seeking visionary Quantum Computing Research Scientists to develop breakthrough algorithms and systems that will redefine computational boundaries. You'll collaborate with Nobel laureates and industry pioneers in a state-of-the-art facility equipped with quantum annealers and superconducting processors. This role offers unparalleled opportunities to publish groundbreaking research, secure patents, and shape the future of quantum technology.

Responsibilities

  • Design and implement novel quantum algorithms for optimization, cryptography, and machine learning applications
  • Lead experimental validation of quantum circuits on superconducting and photonic platforms
  • Develop error mitigation strategies for NISQ-era quantum processors
  • Collaborate with hardware engineering teams to co-design quantum-classical hybrid systems
  • Publish high-impact research in top-tier journals and conferences
  • Secure external funding through NSF and DARPA grant proposals
  • Mentor junior researchers and foster cross-functional innovation

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming languages (Qiskit, Cirq, Q#)
  • Expertise in quantum error correction and fault-tolerant architectures
  • Publication record in Nature/Science or equivalent tier journals
  • Proficiency in classical HPC environments (CUDA, MPI, Hadoop)
  • Strong background in linear algebra, statistical mechanics, and information theory
  • Experience with quantum hardware platforms (IBM Q, Rigetti, IonQ)

Required Skills

Quantum Computing Qiskit Cirq Quantum Error Correction Superconducting Qubits Algorithm Design HPC Machine Learning

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