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Quantum Computing Researcher

NexusLabs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join NexusLabs at the forefront of quantum innovation as we redefine computational boundaries for 2026 and beyond. We seek a visionary Quantum Computing Researcher to develop next-generation algorithms and architectures that will shape the future of technology. This role offers unparalleled opportunities to work with Nobel laureates and pioneer breakthroughs in cryptography, optimization, and machine learning.

Our state-of-the-art San Francisco lab provides access to cutting-edge quantum processors and a collaborative environment where your ideas can transform industries. If you're passionate about solving humanity's most complex challenges through quantum mechanics, this is your moment to lead the revolution.

Responsibilities

  • Design and implement novel quantum algorithms for real-world applications
  • Lead research initiatives in quantum error correction and fault tolerance
  • Collaborate with hardware teams to optimize quantum processor architectures
  • Publish breakthrough research in top-tier scientific journals
  • Develop quantum machine learning frameworks for enterprise solutions
  • Mentor junior researchers and foster cross-functional innovation
  • Secure patents for proprietary quantum methodologies

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency with Qiskit, Cirq, or equivalent quantum frameworks
  • Strong publication record in quantum computing or condensed matter physics
  • Expertise in quantum circuit optimization and simulation
  • Demonstrated ability to translate theoretical concepts into practical applications
  • Experience with high-performance computing environments
  • Deep understanding of quantum decoherence and mitigation strategies

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Machine Learning Cryptography Research Physics High-Performance Computing

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