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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms and protocols that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art San Francisco facility, where innovation meets execution.

We offer competitive equity packages, unlimited learning stipends, and flexible work arrangements to empower your scientific journey. Our mission is to accelerate quantum adoption across healthcare, logistics, and climate modeling sectors.

Responsibilities

  • Design and implement quantum algorithms for practical 2026-era applications
  • Lead research in error correction and quantum supremacy validation
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Publish peer-reviewed research in top-tier quantum computing journals
  • Develop quantum-resistant cryptographic protocols for next-gen security
  • Mentor junior researchers and cross-functional engineering teams
  • Secure research funding through NSF and DARPA grant applications

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, Q#)
  • Published research in quantum algorithm development or quantum error correction
  • Expertise in quantum machine learning and variational algorithms
  • Strong background in complex mathematical modeling and statistical analysis
  • Experience with high-performance computing environments
  • Proven track record of translating theoretical concepts to practical implementations

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Q# Machine Learning Cryptography Research Scientific Computing

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