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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Mei 2026
Deadline
30 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop next-generation algorithms and architectures that will redefine computational paradigms. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art lab where theory meets groundbreaking application.

This role offers unparalleled opportunities to shape the quantum landscape while working on projects with global impact. Our culture values intellectual curiosity, collaborative innovation, and boundary-pushing research in a dynamic environment.

Responsibilities

  • Design and implement quantum algorithms for complex computational problems
  • Lead research in quantum error correction and fault-tolerant systems
  • Develop hybrid quantum-classical computing frameworks
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and cross-functional engineering teams
  • Collaborate with hardware teams to optimize quantum system performance
  • Secure research grants and patents for novel quantum methodologies

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency with quantum programming languages (Qiskit, Cirq, Q#)
  • Deep understanding of quantum mechanics and information theory
  • Track record of peer-reviewed publications in quantum computing
  • Experience with high-performance computing environments
  • Strong analytical and problem-solving abilities
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Quantum Error Correction Fault-Tolerant Systems High-Performance Computing Python Research Methodology

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