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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
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. Our multidisciplinary team is developing next-gen quantum algorithms that will redefine computational boundaries. We seek a visionary researcher to accelerate breakthroughs in quantum supremacy, cryptography, and machine learning integration. This role offers unparalleled access to cutting-edge hardware and collaborative partnerships with global research institutions.

Why Nexus Labs? We provide competitive equity packages, flexible hybrid work arrangements, and dedicated R&D funding. Our culture celebrates intellectual curiosity and rewards bold innovation.

Responsibilities

  • Design and implement quantum algorithms for complex optimization problems
  • Collaborate with hardware engineers to develop error-correction protocols
  • Lead research initiatives in quantum machine learning applications
  • Publish breakthrough findings in top-tier scientific journals
  • Mentor junior researchers and foster cross-functional innovation
  • Secure external funding through NSF and DARPA grant applications
  • Contribute to quantum security frameworks for 2026 digital infrastructure

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency with Qiskit, Cirq, or equivalent quantum programming frameworks
  • Published research in quantum information science or quantum computing
  • Deep understanding of quantum decoherence and error mitigation techniques
  • Strong background in linear algebra and quantum mechanics fundamentals
  • Demonstrated ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cryptography Machine Learning Research Scientific Publications Error Correction

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