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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-gen algorithms and architectures that will redefine computational boundaries. Collaborate with world-class physicists, engineers, and AI specialists in our state-of-the-art lab to solve previously unsolvable problems in cryptography, material science, and machine learning. This role offers unparalleled opportunities to shape the future of technology while working with industry-leading quantum hardware and software platforms.

Responsibilities

  • Design and implement novel quantum algorithms for complex optimization and simulation problems
  • Develop error mitigation protocols for near-term quantum processors
  • Lead cross-functional R&D initiatives in quantum machine learning integration
  • Publish breakthrough research in top-tier journals and conferences
  • Collaborate with hardware teams to optimize quantum circuit implementations
  • Mentor junior researchers and drive innovation in quantum software development
  • Secure external funding through competitive grant proposals

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#)
  • Strong publication record in quantum information science
  • Expertise in quantum error correction and fault tolerance techniques
  • Demonstrated ability to translate theoretical concepts into practical implementations
  • Experience with high-performance computing and parallel processing
  • Passion for solving grand-challenge problems with emerging technologies

Required Skills

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

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