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Information Technology 🏢 Full Time ⭐️ Verified

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 for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop next-gen algorithms and systems that will redefine computational boundaries. This role offers unparalleled access to cutting-edge hardware and collaborative teams working on real-world applications in cryptography, optimization, and AI.

Our state-of-the-art facility in San Francisco's innovation district provides an environment where your expertise will directly impact the future of technology. We offer competitive compensation, comprehensive benefits, and opportunities to publish groundbreaking research.

Responsibilities

  • Design and implement quantum algorithms for practical industrial applications
  • Collaborate with hardware engineers to optimize quantum circuit performance
  • Lead research initiatives in error correction and quantum coherence enhancement
  • Develop simulation frameworks for quantum system validation
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and drive cross-functional innovation projects

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum focus
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in linear algebra, probability, and information theory
  • Demonstrated ability to translate theoretical concepts into practical implementations
  • Publication record in quantum computing or related fields
  • Experience with cloud quantum computing platforms (IBM Quantum, AWS Braket)

Required Skills

Quantum Computing Algorithm Development Qiskit Q# Error Correction Quantum Simulation Cryptography Machine Learning

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