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Information Technology 🏢 Full Time ⭐️ Verified

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 evolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop next-generation algorithms and hardware architectures. Collaborate with world-class teams in our state-of-the-art San Francisco lab to solve complex computational challenges in cryptography, AI optimization, and materials science. This role offers unparalleled opportunities to publish groundbreaking research and shape the future of computational science.

Responsibilities

  • Design and implement quantum algorithms for practical commercial applications
  • Lead R&D initiatives in quantum error correction and hardware optimization
  • Develop proprietary quantum simulation frameworks for industrial partners
  • Publish peer-reviewed research in top-tier scientific journals
  • Collaborate with hardware teams to bridge theoretical models with physical qubit implementations
  • Secure external funding through NSF and DARPA grant proposals
  • Mentor junior researchers and cross-functional engineering teams

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Publication record in quantum information science or related fields
  • Deep understanding of quantum decoherence mitigation techniques
  • Experience with superconducting or ion-trap quantum systems
  • Strong background in linear algebra, probability theory, and computational complexity
  • Ability to translate theoretical concepts into scalable engineering solutions

Required Skills

Quantum Computing Algorithm Design Qiskit Cirq Quantum Error Correction Cryptography Superconducting Systems Machine Learning High-Performance Computing

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