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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer quantum computing solutions that will redefine industries by 2026. Our multidisciplinary team is developing next-gen quantum algorithms and hardware to solve previously unsolvable problems in cryptography, materials science, and AI. We offer a dynamic, collaborative environment where your expertise will directly shape the future of computation.

What You'll Achieve:

You'll lead groundbreaking research in quantum error correction, develop scalable qubit architectures, and collaborate with industry partners to translate theoretical breakthroughs into practical applications. This role includes competitive benefits, flexible work arrangements, and opportunities to present at international quantum conferences.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Lead research in quantum error correction and fault-tolerant systems
  • Collaborate with hardware teams to improve qubit coherence and scalability
  • Publish findings in peer-reviewed journals and present at industry conferences
  • Develop quantum software libraries and APIs for commercial applications
  • Mentor junior researchers and contribute to quantum education initiatives

Qualifications

  • PhD in Physics, Computer Science, or related field with 3+ years quantum research experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Strong background in linear algebra, quantum mechanics, and complexity theory
  • Publication record in quantum computing or related fields
  • Experience with superconducting or trapped-ion quantum hardware
  • Ability to secure government-level security clearance (if applicable)

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Superconducting Qubits Quantum Error Correction Python Linear Algebra

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