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Quantum Computing Researcher

Nexus 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 Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Researcher to develop breakthrough algorithms and hardware architectures that will redefine computational capabilities. Our interdisciplinary team operates at the intersection of quantum physics, machine learning, and cybersecurity, with access to state-of-the-art facilities and $50M in R&D funding. This role offers unparalleled opportunities to shape the next generation of computing paradigms while collaborating with Nobel laureates and industry pioneers.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Develop novel quantum error correction techniques for fault-tolerant systems
  • Lead experimental validation of quantum hardware prototypes at cryogenic temperatures
  • Collaborate with AI teams to integrate quantum processors into machine learning frameworks
  • Publish research in top-tier journals and present at international conferences
  • Secure patents for proprietary quantum methodologies and architectures
  • Mentor junior researchers and cross-functional engineering teams

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years hands-on experience with quantum programming languages (Q#, Qiskit)
  • Deep understanding of quantum entanglement, superposition, and decoherence
  • Published research in quantum error correction or hardware optimization
  • Proficiency in Python, C++, and low-level hardware interfacing
  • Experience with quantum simulators and cloud quantum platforms (IBM, Rigetti)
  • Demonstrated ability to translate theoretical concepts into experimental prototypes

Required Skills

Quantum Computing Quantum Algorithms Cryogenics Error Correction Qiskit Q# Machine Learning Hardware Architecture

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