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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions 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. Our state-of-the-art facility in San Francisco offers unparalleled resources and collaborative opportunities to push the limits of quantum mechanics and artificial intelligence.

We offer competitive compensation, comprehensive benefits, and a flexible work environment designed to foster innovation. As part of our elite research team, you'll contribute to breakthrough projects with global impact while receiving mentorship from Nobel laureate advisors. Your work will directly influence industries from pharmaceuticals to aerospace, making this an unparalleled opportunity to shape humanity's technological future.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead experimental research on quantum error correction and fault-tolerant systems
  • Collaborate with hardware engineers to develop quantum-processor interfaces
  • Publish breakthrough research in peer-reviewed journals and industry conferences
  • Secure and manage research grants from federal agencies and private foundations
  • Mentor junior researchers and cross-functional engineering teams
  • Develop quantum security protocols for next-generation communication networks

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years industry experience
  • Expertise in quantum algorithm design (Shor's, Grover's, VQE) and quantum circuit optimization
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#) and high-performance computing
  • Published research in quantum computing or quantum information theory
  • Strong background in linear algebra, probability theory, and computational complexity
  • Experience with machine learning frameworks (TensorFlow, PyTorch) for hybrid quantum-classical models
  • Demonstrated ability to secure research funding through grant proposals

Required Skills

Quantum Computing Quantum Algorithms Machine Learning Python C++ Qiskit Cirq Quantum Error Correction High-Performance Computing

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