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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
30 Mei 2026
Deadline
30 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms and error-correction techniques that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco lab, working on projects that will shape humanity's digital future. We offer competitive equity packages, unlimited learning stipends, and the opportunity to publish research in Nature and Science journals.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Develop error-correction protocols to achieve fault-tolerant quantum computation
  • Lead cross-functional research teams in prototyping quantum software solutions
  • Collaborate with hardware engineers to optimize quantum-classical interfaces
  • Author high-impact research papers and secure NSF/DARPA grants
  • Mentor PhD candidates and contribute to quantum education initiatives
  • Stay ahead of emerging quantum threats and security paradigms

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years research experience
  • Published work in top-tier quantum computing conferences (QIP, QCE)
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in quantum error correction and fault tolerance
  • Proven ability to secure government or industry research funding
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Q# Qiskit Quantum Algorithms Error Correction Machine Learning C++ Python Research Methodology

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