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Quantum Computing Research Scientist

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

Job Description

Join Nexus Future Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and solve complex computational challenges that will redefine industries. Our state-of-the-art facility in San Francisco offers unparalleled resources and collaborative opportunities with Nobel laureates and industry pioneers. This role offers competitive equity, flexible work arrangements, and direct impact on shaping humanity's technological future.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Collaborate with cross-functional teams to translate theoretical models into practical applications
  • Lead research initiatives in quantum error correction and fault-tolerant systems
  • Publish findings in peer-reviewed journals and present at international conferences
  • Develop prototypes to validate quantum computing advantages over classical systems
  • Mentor junior researchers and foster a culture of innovation
  • Secure external funding through NSF and DARPA grant applications

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years experience with quantum programming languages (Q#, Qiskit, Cirq)
  • Deep understanding of quantum mechanics and quantum information theory
  • Proven track record of publishing high-impact research in quantum computing
  • Expertise in algorithm design and complexity analysis
  • Familiarity with superconducting or photonic quantum hardware
  • Strong collaborative skills with ability to work across interdisciplinary teams

Required Skills

Quantum Computing Q# Qiskit Cirq Quantum Mechanics Algorithm Design Superconducting Hardware Quantum Error Correction Research Methodology Peer Review

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