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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. As a Quantum Computing Research Scientist, you'll architect breakthrough algorithms, manipulate qubit systems, and collaborate with Nobel laureates to solve humanity's most complex challenges. Our state-of-the-art facilities in San Francisco's Tech District offer unparalleled resources including 128-qubit processors and cryogenic research labs.

We provide comprehensive benefits including equity grants, unlimited sabbatical time, and relocation assistance for exceptional candidates. This role offers direct impact on real-world applications in cryptography, drug discovery, and climate modeling.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Develop error correction protocols for fault-tolerant quantum systems
  • Collaborate with hardware teams to calibrate and optimize qubit performance
  • Lead cross-functional research projects in quantum cryptography and simulation
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and develop quantum computing curricula

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum computing specialization
  • 3+ years of hands-on experience with quantum programming languages (Qiskit, Cirq, or Q#)
  • Expertise in quantum error correction and fault-tolerant architectures
  • Publication record in quantum information science or related domains
  • Proficiency in high-performance computing environments and parallel processing
  • Strong background in linear algebra, complex analysis, and statistical mechanics

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Cryogenics Fault-Tolerant Systems Cryptography Machine Learning

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