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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop next-gen algorithms and protocols that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources and a collaborative environment where your ideas will shape the future of technology.

As a key member of our Innovation Division, you'll work alongside Nobel laureates and industry pioneers to solve humanity's most complex challenges. We offer competitive equity packages, flexible hybrid work arrangements, and access to cutting-edge quantum hardware.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation
  • Develop error correction protocols for scalable quantum systems
  • Collaborate with hardware engineers to optimize quantum circuit performance
  • Lead cross-functional research initiatives with AI and materials science teams
  • Publish findings in top-tier journals and present at international conferences
  • Secure research grants and patents in quantum computing methodologies
  • Mentor junior researchers and drive innovation in quantum education

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Published research in quantum information theory or quantum computing
  • Strong background in linear algebra and complex systems
  • Experience with high-performance computing and parallel processing
  • Demonstrated ability to secure research funding or patents

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Quantum Error Correction PhD Physics Machine Learning High-Performance Computing

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