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Quantum Computing Researcher

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026. We're seeking visionary Quantum Computing Researchers to develop next-gen algorithms and solve previously unsolvable computational challenges. Our cutting-edge lab collaborates with NASA, MIT, and global tech giants to redefine what's possible in cryptography, materials science, and AI optimization. Enjoy competitive equity packages, flexible work arrangements, and direct impact on humanity's technological horizon.

Responsibilities

  • Design and implement quantum algorithms for real-world applications in logistics, drug discovery, and climate modeling
  • Lead experimental quantum computing projects using superconducting qubit systems and photonic processors
  • Collaborate with AI engineers to develop hybrid quantum-classical machine learning frameworks
  • Publish breakthrough research in Nature/Science journals and present at IEEE Quantum Week
  • Mentor junior researchers and secure $2M+ in NSF/DARPA grants for quantum initiatives
  • Partner with hardware teams to optimize quantum error correction protocols

Qualifications

  • PhD in Quantum Physics, Computer Science, or Electrical Engineering with 5+ years of quantum research
  • Expertise in Qiskit, Cirq, or quantum circuit optimization frameworks
  • Published work in top-tier quantum computing journals (Nature Quantum, PRX Quantum)
  • Experience with superconducting qubit systems or trapped-ion quantum processors
  • Strong background in quantum error correction and fault-tolerant architectures
  • Proven track record of translating theoretical models into experimental results
  • Ability to secure federal research grants and lead cross-disciplinary teams

Required Skills

Quantum Computing Quantum Algorithms Superconducting Qubits Quantum Error Correction Qiskit Cirq Machine Learning Research Grants Scientific Publishing

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