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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop next-gen algorithms and architectures that will redefine computational boundaries. This role offers unparalleled opportunities to collaborate with Nobel laureates and contribute to breakthroughs in cryptography, materials science, and artificial intelligence.

Our state-of-the-art facility in San Francisco's tech hub provides access to cutting-edge quantum processors, superconducting qubits, and cryogenic systems. You'll lead initiatives in error correction, quantum machine learning, and fault-tolerant computing while mentoring a multidisciplinary team of physicists and engineers.

Responsibilities

  • Design and implement novel quantum algorithms for real-world applications
  • Lead research in quantum error correction and fault-tolerant architectures
  • Collaborate with hardware teams to optimize quantum processor performance
  • Publish findings in top-tier journals and present at international conferences
  • Secure research grants and patents for quantum innovations
  • Mentor junior researchers and develop quantum computing curricula

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 3+ years experience with quantum programming frameworks (Qiskit, Cirq, Q#)
  • Published research in quantum algorithms or quantum information theory
  • Expertise in superconducting qubit systems or trapped-ion technologies
  • Strong background in linear algebra, probability theory, and statistical mechanics
  • Proven ability to secure competitive research funding
  • Experience mentoring interdisciplinary research teams

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Superconducting Qubits Quantum Error Correction Machine Learning Cryptography Research

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