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Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing applications for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation algorithms and solve previously unsolvable computational challenges. This role offers unparalleled opportunities to shape the future of artificial intelligence, cryptography, and complex system modeling in our state-of-the-art Austin research facility.

Responsibilities

  • Design and implement quantum algorithms for real-world applications in AI optimization and molecular modeling
  • Lead cross-functional research initiatives in quantum error correction and qubit stability
  • Collaborate with hardware teams to translate theoretical models into practical quantum computing architectures
  • Publish breakthrough research in peer-reviewed journals and present at international conferences
  • Develop patentable quantum computing methodologies for commercial deployment by 2026
  • Mentor junior researchers and establish best practices for quantum software development

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years of quantum computing research
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
  • Proven track record of publishing in Nature/Science or top-tier quantum computing journals
  • Deep understanding of quantum entanglement, superposition, and quantum measurement principles
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, D-Wave)
  • Strong background in complex mathematical modeling and high-performance computing
  • Ability to translate theoretical concepts into practical quantum advantage applications

Required Skills

Quantum Computing Qiskit Q# Quantum Algorithms Quantum Error Correction Quantum Cryptography High-Performance Computing AI Optimization

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