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Quantum Computing Researcher 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary researchers to develop next-gen quantum algorithms and hardware architectures that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources to accelerate breakthroughs in cryptography, AI optimization, and molecular modeling.

This role provides unique opportunities to collaborate with Nobel laureates and industry disruptors while contributing to projects that will shape the next decade of technological advancement. We offer competitive compensation, flexible work arrangements, and a comprehensive benefits package including equity participation.

Responsibilities

  • Design and implement quantum algorithms for complex computational problems
  • Lead cross-functional teams in developing quantum hardware prototypes
  • Publish groundbreaking research in top-tier scientific journals
  • Secure and manage government/private research grants
  • Mentor junior researchers and foster collaborative innovation
  • Develop roadmaps for quantum integration with classical systems
  • Participate in international quantum computing conferences and symposiums

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong publication record in quantum information science
  • Expertise in quantum error correction and fault tolerance
  • Demonstrated ability to secure research funding
  • Experience with cryogenic systems and quantum hardware
  • Deep understanding of quantum entanglement principles

Required Skills

Quantum Computing Quantum Algorithms Cryogenics Qiskit Q# Research Methodology Machine Learning Cryptography Fault Tolerance

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