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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions that will redefine 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop breakthrough algorithms, optimize quantum systems, and solve previously unsolvable computational challenges. Work in our state-of-the-art facility with cutting-edge quantum processors while collaborating with Nobel laureates and industry pioneers. This role offers unparalleled opportunities to shape the future of technology with competitive compensation, comprehensive benefits, and a culture of relentless innovation.

Responsibilities

  • Design and implement novel quantum algorithms for optimization, cryptography, and machine learning applications
  • Develop error correction protocols to enhance quantum system stability and scalability
  • Collaborate with hardware teams to optimize quantum processor performance
  • Lead research initiatives targeting quantum advantage in real-world industrial applications
  • Publish findings in top-tier journals and present at international quantum computing conferences
  • Mentor junior researchers and contribute to patent development

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency with quantum programming languages (Qiskit, Cirq, Q#) and simulation frameworks
  • Published research in quantum computing or quantum information theory
  • Deep understanding of quantum mechanics principles and quantum error correction
  • Experience with high-performance computing environments and parallel processing
  • Strong problem-solving skills with ability to tackle abstract computational challenges

Required Skills

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

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