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Quantum Computing Researcher

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 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-generation quantum algorithms to solve previously unsolvable challenges in cryptography, materials science, and artificial intelligence. We offer unparalleled resources, cutting-edge lab facilities, and a culture that values bold innovation and intellectual curiosity.

This role provides the opportunity to shape the future of computational technology while collaborating with Nobel laureates and industry pioneers. Enjoy competitive benefits, flexible work arrangements, and a commitment to your professional growth through our Quantum Excellence Academy.

Responsibilities

  • Design and implement novel quantum algorithms for practical applications
  • Lead breakthrough research in quantum error correction and coherence optimization
  • Collaborate with hardware teams to translate theoretical models into functional quantum systems
  • Publish peer-reviewed papers and present findings at premier international conferences
  • Mentor junior researchers and drive cross-functional innovation initiatives
  • Secure external funding through NSF and DARPA grant applications

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Demonstrated publication record in top-tier journals (Nature, Science, PRL)
  • Expertise in quantum error mitigation techniques
  • Strong background in linear algebra and complex analysis
  • Experience with superconducting or photonic quantum systems

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Q# Quantum Error Correction Superconducting Qubits Photonic Systems Linear Algebra Complex Analysis Peer-Reviewed Research NSF Grants

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