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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer the next wave of quantum computing breakthroughs. As a Quantum Computing Research Scientist, you'll shape the future of computation by designing and implementing cutting-edge quantum algorithms in our state-of-the-art San Francisco lab. Collaborate with world-class physicists and engineers to solve previously unsolvable problems in cryptography, materials science, and artificial intelligence. We offer competitive compensation, flexible work arrangements, and unparalleled opportunities to publish groundbreaking research that will define the technological landscape of 2026 and beyond.

Responsibilities

  • Lead quantum algorithm development for complex computational challenges
  • Design and optimize quantum circuits on superconducting and photonic platforms
  • Collaborate with hardware teams to overcome quantum decoherence challenges
  • Develop error mitigation techniques for practical quantum applications
  • Publish research in top-tier journals and present at international conferences
  • Mentor junior researchers and drive innovation in quantum machine learning
  • Secure external funding through NSF and DARPA grant proposals

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years research experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Deep understanding of quantum error correction and fault-tolerant architectures
  • Publication record in Nature/Science or equivalent high-impact journals
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Strong background in linear algebra, probability theory, and complexity theory
  • Proven ability to lead multidisciplinary research teams

Required Skills

Quantum Computing Q# Qiskit Quantum Algorithms Superconducting Qubits Quantum Error Correction Machine Learning Python C++ Research Leadership

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