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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. Our multidisciplinary team is developing next-generation quantum algorithms that will redefine industries from pharmaceuticals to cryptography. This role offers unparalleled opportunity to shape the future of computational science while working with cutting-edge hardware and world-renowned researchers.

We provide competitive equity packages, flexible work arrangements, and a state-of-the-art lab environment where innovation thrives. Collaborate with experts in quantum mechanics, machine learning, and materials science to solve humanity's most complex challenges.

Responsibilities

  • Design and implement novel quantum algorithms for practical 2026-era applications
  • Lead experimental validation of quantum supremacy claims on proprietary hardware
  • Develop error correction protocols for fault-tolerant quantum systems
  • Collaborate with industry partners to translate quantum research into commercial solutions
  • Mentor junior researchers and publish breakthrough findings in top-tier journals
  • Secure federal and private research funding for quantum initiatives

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years postdoc experience
  • Published research in quantum computing or quantum information theory
  • Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
  • Demonstrated experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
  • Strong background in linear algebra and complex probability theory
  • Track record of securing competitive research grants
  • Exceptional problem-solving skills for abstract quantum systems

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Cirq Quantum Hardware Research Theoretical Physics Machine Learning Cryptography

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