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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Researcher

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

Job Description

Join Nexus Labs at the forefront of quantum revolution! We're pioneering next-gen quantum systems that will redefine computing by 2026. As a Quantum Computing Researcher, you'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources and a culture where innovation thrives. We provide comprehensive benefits including equity, flexible remote work options, and dedicated R&D time. If you're passionate about quantum algorithms, error correction, and scalable architectures, this is your chance to shape the future.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error correction protocols for fault-tolerant quantum systems
  • Collaborate with hardware teams to integrate quantum processors with classical systems
  • Lead research initiatives to achieve quantum advantage in practical applications
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and contribute to patent development
  • Stay current with emerging quantum technologies and industry trends

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum focus
  • 3+ years experience with quantum programming languages (Qiskit, Cirq, Q#)
  • Expertise in quantum error correction and fault tolerance techniques
  • Strong background in linear algebra, probability, and information theory
  • Proven track record of peer-reviewed publications in quantum computing
  • Experience with high-performance computing and parallel processing
  • Excellent communication skills with ability to translate complex concepts

Required Skills

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

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