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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Research Scientist to develop breakthrough quantum algorithms and hardware integration protocols. This role offers unparalleled access to our state-of-the-art quantum facilities and collaborative partnerships with global research institutions. Shape the future of computational science while enjoying competitive compensation and a dynamic, forward-thinking work environment.

Responsibilities

  • Design and implement novel quantum algorithms for complex optimization and simulation problems
  • Collaborate with hardware engineers to prototype quantum error correction protocols
  • Lead cross-functional research initiatives in quantum machine learning applications
  • Publish findings in top-tier journals and present at international conferences
  • Develop patentable quantum computing methodologies for commercial deployment
  • Mentor junior researchers and establish quantum research best practices
  • Secure and manage cutting-edge research grants and partnerships

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years research experience
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Publication record in quantum computing or theoretical physics
  • Deep understanding of quantum mechanics and linear algebra principles
  • Experience with superconducting or photonic quantum systems
  • Strong background in machine learning and classical optimization
  • Proven ability to secure research funding and manage complex projects
  • Excellent written and verbal communication skills

Required Skills

quantum computing quantum algorithms quantum error correction machine learning quantum physics research Cirq Qiskit superconducting systems optimization algorithms

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