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Quantum Computing Researcher 2026

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 quantum revolution! We're seeking a visionary Quantum Computing Researcher to architect the next generation of computational systems for our 2026 roadmap. This pioneering role demands an innovative mind to solve humanity's most complex challenges through quantum algorithms, error correction, and hardware optimization. Collaborate with Nobel laureates and industry pioneers in our state-of-the-art quantum lab, where your breakthroughs will redefine technological boundaries. We offer equity, unlimited PTO, and unparalleled resources to accelerate your research impact.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop quantum error correction protocols for fault-tolerant computing systems
  • Lead hardware-software co-design initiatives for next-gen quantum processors
  • Publish groundbreaking research in top-tier journals and conferences
  • Mentor junior researchers and foster cross-disciplinary innovation
  • Secure federal grants and industry partnerships for quantum advancement
  • Translate theoretical concepts into scalable quantum computing solutions

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 5+ years of hands-on quantum computing research with published papers
  • Expertise in quantum circuit design, Qiskit, or similar frameworks
  • Proficiency in Python, C++, and low-level quantum control systems
  • Deep understanding of quantum decoherence and error correction
  • Experience with superconducting or trapped-ion quantum platforms
  • Track record of securing research funding or patents
  • Passion for solving complex problems with quantum advantage

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Python C++ Superconducting Qubits Quantum Hardware Research Methodology Machine Learning

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