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Quantum Algorithm Researcher 2026

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 quantum computing innovation. We're seeking visionary researchers to develop breakthrough quantum algorithms for 2026 and beyond. Our multidisciplinary team tackles humanity's most complex challenges in cryptography, materials science, and artificial intelligence. As a Quantum Algorithm Researcher, you'll collaborate with world-class physicists and engineers to push the boundaries of computational possibility.

What You'll Achieve: Design and prototype quantum algorithms that solve previously intractable problems. Publish groundbreaking research in top-tier journals and contribute to open-source quantum frameworks. Shape the future of technology through patent development and industry partnerships.

Responsibilities

  • Design novel quantum algorithms for optimization and simulation problems
  • Develop error mitigation strategies for NISQ-era quantum processors
  • Collaborate with experimental physicists to validate algorithmic implementations
  • Author peer-reviewed publications and technical documentation
  • Mentor junior researchers and lead algorithm development sprints
  • Participate in cross-functional projects with AI and materials science teams
  • Contribute to quantum software stack development

Qualifications

  • PhD in Physics, Computer Science, or related quantitative field
  • Expertise in quantum computing algorithms and complexity theory
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in quantum information science
  • Strong background in linear algebra and probability theory
  • Experience with high-performance computing frameworks
  • Demonstrated ability to translate theoretical concepts into practical implementations
  • Excellent communication and collaboration skills

Required Skills

Quantum Computing Algorithm Design Qiskit Q# Complexity Theory Linear Algebra High-Performance Computing Research Methodology

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