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Quantum Computing Research Scientist

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

Job Description

Join Nexus Future Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop next-gen algorithms and hardware that will redefine computing paradigms. Our interdisciplinary team collaborates with Fortune 500 partners to solve humanity's most complex challenges in cryptography, materials science, and artificial intelligence.

Located in San Francisco's vibrant tech ecosystem, you'll work in state-of-the-art labs with cutting-edge equipment. We offer competitive compensation, flexible work arrangements, and opportunities to publish groundbreaking research in leading journals. Shape the future of technology with us.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Develop error correction protocols for scalable quantum systems
  • Collaborate with hardware teams to prototype quantum processors
  • Lead research initiatives in quantum machine learning applications
  • Publish findings in peer-reviewed journals and present at international conferences
  • Secure external funding through NSF and DARPA grants
  • Mentor junior researchers and cross-functional engineering teams

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in linear algebra, probability theory, and information theory
  • Demonstrated ability to publish high-impact research papers
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, etc.)
  • Excellent problem-solving skills and innovative mindset

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Q# Machine Learning Python Research Cryptography Linear Algebra

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