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Quantum Computing Researcher 2026

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026. We're seeking visionary Quantum Computing Researchers to develop next-generation algorithms and hardware prototypes that will redefine computational boundaries. This role offers unparalleled opportunities to collaborate with Nobel laureates and publish breakthrough research in top-tier journals.

Our state-of-the-art facility in San Francisco features a 500-qubit quantum processor and dedicated AI-assisted simulation labs. Enjoy flexible work arrangements, annual innovation sabbaticals, and comprehensive benefits including equity in our publicly traded parent company.

Responsibilities

  • Design and implement quantum algorithms for optimization and machine learning applications
  • Develop error-correction protocols for scalable quantum systems
  • Collaborate with hardware engineers to bridge theoretical models with physical implementations
  • Lead research initiatives in quantum cryptography and secure communications
  • Publish peer-reviewed papers and present findings at international conferences
  • Mentor junior researchers in quantum information theory
  • Secure external funding through NSF and DARPA grant applications

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent research experience)
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Demonstrated expertise in quantum error correction and fault tolerance
  • Publication record in quantum computing or condensed matter physics
  • Experience with high-performance computing environments
  • Familiarity with machine learning frameworks for quantum data
  • Strong analytical and problem-solving abilities
  • Excellent written and verbal communication skills

Required Skills

Quantum Computing Quantum Algorithms Qiskit Q# Error Correction Machine Learning High-Performance Computing Cryptography Research Methodology

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