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Quantum Computing Research Scientist 2026

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Research Scientist to develop next-gen quantum algorithms and architectures that will redefine computational boundaries. This role offers unparalleled opportunities to shape the future of AI, cryptography, and materials science while working with world-class experts in our state-of-the-art facilities.

Our culture combines cutting-edge innovation with collaborative problem-solving, offering competitive compensation, flexible work arrangements, and comprehensive benefits. You'll contribute to projects with global impact while advancing your career in one of tech's most dynamic fields.

Responsibilities

  • Design and implement novel quantum algorithms for machine learning optimization
  • Develop error-correction protocols for scalable quantum systems
  • Collaborate on quantum cryptography frameworks for 2026 security standards
  • Lead research in quantum simulation for drug discovery and materials science
  • Author peer-reviewed publications and present findings at international conferences
  • Mentor junior researchers in quantum computing methodologies
  • Secure external funding through NSF and DARPA proposals

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
  • Published research in top-tier quantum computing journals
  • Strong background in linear algebra, probability, and statistical mechanics
  • Experience with high-performance computing clusters
  • Demonstrated ability to secure government research grants

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Cryptography Machine Learning High-Performance Computing Research Methodology

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