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Quantum Computing Researcher

Nexus Labs
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological innovation as we pioneer breakthroughs in quantum computing for 2026 and beyond. We're seeking visionary Quantum Computing Researchers to develop scalable quantum algorithms and solve complex computational challenges that will redefine industries. Our state-of-the-art facility in San Francisco offers unparalleled resources and collaborative environments where your work will directly impact the next generation of technology.

As part of our elite research division, you'll collaborate with Nobel laureates and industry pioneers to push the boundaries of quantum supremacy. We offer competitive compensation, comprehensive benefits, and opportunities to publish groundbreaking research in top-tier scientific journals.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Develop error correction protocols to enhance quantum coherence and scalability
  • Collaborate with hardware teams to integrate quantum solutions with classical computing systems
  • Lead research initiatives in quantum cryptography and secure communication protocols
  • Publish findings in peer-reviewed journals and present at international conferences
  • Mentor junior researchers and contribute to patent development

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of experience with quantum programming languages (Q#, Qiskit, Cirq)
  • Expertise in quantum error correction and fault-tolerant architectures
  • Strong publication record in quantum computing research
  • Proficiency in high-performance computing environments
  • Experience with quantum simulation frameworks and hardware platforms
  • Demonstrated ability to lead complex research projects

Required Skills

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

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