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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Labs at the forefront of quantum revolution as we pioneer technologies that will redefine 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and systems that will solve previously impossible computational challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources and a collaborative environment where your work will directly shape the future of quantum applications in cryptography, AI, and materials science.

This role offers competitive compensation, equity, and the opportunity to work with Nobel Prize-winning mentors while contributing to projects that will impact global industries within the next decade.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Lead research in quantum error correction and fault-tolerant computing
  • Collaborate with hardware teams to integrate quantum-classical hybrid systems
  • Develop novel quantum machine learning frameworks for predictive analytics
  • Publish findings in peer-reviewed journals and present at international conferences
  • Mentor junior researchers and drive quantum literacy initiatives
  • Secure and manage research grants from federal and private institutions

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum computing research experience
  • Expertise in quantum programming languages (Qiskit, Cirq, Q#)
  • Strong background in quantum mechanics and linear algebra
  • Proven track record of publishing high-impact research papers
  • Experience with quantum hardware platforms (IBM, Rigetti, IonQ)
  • Excellent problem-solving skills and ability to work in cross-functional teams
  • Passion for ethical quantum technology development and deployment

Required Skills

Quantum Computing Quantum Algorithms Machine Learning Cryptography Linear Algebra Qiskit Cirq Research AI Ethics

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