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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation quantum algorithms and hardware interfaces that will redefine computational boundaries. This role offers unparalleled opportunities to work with Nobel Prize-winning mentors and deploy cutting-edge research in a state-of-the-art facility.

Our team operates at the intersection of physics, computer science, and AI, creating systems that will solve previously unsolvable challenges in cryptography, materials science, and climate modeling. If you're passionate about shaping the technological landscape of the next decade, this is your calling.

Responsibilities

  • Design and implement novel quantum algorithms for practical applications
  • Collaborate with hardware engineers to optimize quantum system architectures
  • Lead cross-functional research initiatives targeting 2026 quantum computing milestones
  • Publish breakthrough research in top-tier journals and conferences
  • Develop quantum-resistant cryptographic protocols for enterprise clients
  • Mentor junior researchers in quantum physics and computational theory

Qualifications

  • PhD in Physics, Computer Science, or related quantitative field
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming languages (Q#, Qiskit, or Cirq)
  • Demonstrated expertise in quantum error correction and fault tolerance
  • Published work in quantum information science or quantum algorithms
  • Strong background in linear algebra, probability theory, and computational complexity
  • Experience with quantum hardware platforms (IBM Q, Rigetti, or IonQ)

Required Skills

Quantum Computing Quantum Algorithms Qiskit Q# Cryptography Fault Tolerance Physics Machine Learning

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