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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation quantum algorithms and architectures that will revolutionize industries. This role offers unparalleled opportunities to shape the future of computational science in a cutting-edge environment.

Responsibilities

  • Design and implement novel quantum algorithms for complex optimization and simulation problems
  • Lead research on quantum error correction and fault-tolerant quantum systems
  • Collaborate with hardware engineers to integrate quantum software with emerging quantum processors
  • Publish high-impact research in peer-reviewed journals and present at international conferences
  • Develop quantum machine learning frameworks for predictive analytics and AI advancement
  • Secure and manage research partnerships with leading academic institutions
  • Mentor junior researchers and drive innovation in quantum computing methodologies

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years of research experience
  • Expertise in quantum circuit design and quantum algorithm development
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and simulation frameworks
  • Strong publication record in quantum computing or quantum information theory
  • Deep understanding of quantum decoherence and error correction techniques
  • Experience with high-performance computing and parallel processing architectures
  • Track record of securing research grants and managing multi-disciplinary projects
  • Excellent communication skills with ability to translate complex concepts for diverse stakeholders

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Cirq Quantum Machine Learning High-Performance Computing Research Methodology

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