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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
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation algorithms and systems that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art research facility, working on projects that could solve humanity's most complex challenges.

Our team operates at the intersection of physics, computer science, and AI, pushing the limits of what's possible in quantum supremacy. We offer competitive compensation, unlimited PTO, and a comprehensive benefits package including equity in our rapidly growing unicorn startup.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Develop error-correction techniques for scalable quantum systems
  • Collaborate with hardware teams to co-design quantum processors
  • Publish breakthrough research in top-tier journals and conferences
  • Lead cross-functional projects integrating quantum solutions with AI frameworks
  • Secure patents for novel quantum methodologies
  • Mentor junior researchers and interns

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
  • Published research in quantum computing or theoretical physics
  • Strong background in linear algebra, probability, and information theory
  • Experience with superconducting or trapped-ion quantum systems
  • Proven track record of solving complex computational problems

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Error Correction Quantum Hardware Linear Algebra Theoretical Physics AI Integration

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