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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. We're seeking visionary research scientists to develop groundbreaking algorithms that will redefine computational boundaries. Our state-of-the-art lab in San Francisco offers unparalleled resources and collaborative environment to transform theoretical concepts into real-world solutions.

This role offers competitive compensation, equity packages, and the opportunity to shape the next generation of quantum technologies. You'll work alongside Nobel laureates and industry pioneers while contributing to projects that will impact fields from cryptography to drug discovery.

Responsibilities

  • Design and implement novel quantum algorithms for practical 2026-era applications
  • Lead research in quantum error correction and fault-tolerant systems
  • Collaborate with hardware engineers to optimize quantum circuit implementations
  • Publish findings in top-tier journals and present at international conferences
  • Develop patentable quantum computing methodologies
  • Mentor junior researchers and supervise PhD candidates
  • Secure external funding through NSF and DARPA proposals

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
  • Publication record in Nature/Science or IEEE journals
  • Deep understanding of quantum decoherence and error correction
  • Experience with quantum hardware platforms (IBM, Rigetti, or IonQ)
  • Strong background in linear algebra and complex analysis
  • Ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Algorithm Development Quantum Error Correction Qiskit Cirq Theoretical Physics Machine Learning Cryptography

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