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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of the 2026 technological revolution. We're pioneering quantum computing solutions that will redefine industries, and we're seeking a visionary Research Scientist to lead breakthrough developments. Our state-of-the-art facility in San Francisco offers unparalleled resources to explore quantum algorithms, error correction, and practical applications in cryptography, materials science, and AI optimization. Collaborate with Nobel laureates and industry disruptors in an environment where theoretical physics meets real-world innovation.

Responsibilities

  • Design and implement novel quantum algorithms for complex computational problems
  • Lead research on quantum error correction techniques to achieve fault-tolerant systems
  • Develop hybrid quantum-classical machine learning frameworks for 2026-era applications
  • Collaborate with hardware engineers to optimize quantum circuit implementations
  • Secure funding through competitive grant proposals and industry partnerships
  • Mentor postdoctoral researchers and publish high-impact findings in Nature/Science journals
  • Translate theoretical discoveries into scalable quantum solutions for enterprise clients

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development using Qiskit/Cirq/Q# frameworks
  • Published research in top-tier quantum computing or theoretical physics journals
  • Deep expertise in quantum information theory and many-body quantum systems
  • Proficiency in Python, TensorFlow/PyTorch, and HPC environments
  • Demonstrated ability to secure research grants from NSF, DOE, or DARPA
  • Experience mentoring cross-functional technical teams

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Machine Learning Cryptography HPC Python Research Fault-Tolerance

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