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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Researcher 2026

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

Job Description

Join Nexus Labs at the forefront of technological innovation as we pioneer the next generation of quantum computing solutions. We're seeking visionary researchers to develop breakthrough algorithms and hardware architectures that will define computing in 2026 and beyond. Our state-of-the-art facility in San Francisco offers unparalleled resources for quantum experimentation and collaborative research.

As a key member of our Quantum Research Division, you'll work alongside Nobel laureates and industry pioneers to solve humanity's most complex challenges. We offer competitive compensation, cutting-edge resources, and a culture where curiosity drives discovery.

Responsibilities

  • Design and implement quantum algorithms for next-generation computing applications
  • Develop error correction protocols to advance quantum coherence times
  • Collaborate with hardware teams to optimize quantum processor architectures
  • Lead cross-functional research initiatives in quantum machine learning
  • Publish findings in top-tier scientific journals and industry conferences
  • Secure federal and private research funding for quantum projects
  • Mentor junior researchers in quantum computing methodologies

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (required)
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
  • 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)
  • Ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Cirq Machine Learning Quantum Hardware Research Methodology

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