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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of computational revolution. We seek visionary Quantum Computing Research Scientists to pioneer breakthroughs that will redefine technology by 2026. Collaborate with Nobel laureates and industry pioneers in our state-of-the-art Silicon Valley facility. Your work will directly shape the next generation of quantum algorithms, materials science, and artificial intelligence. Enjoy unparalleled resources, flexible work arrangements, and a culture where curiosity fuels innovation. This is your chance to leave an indelible mark on human progress.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead experimental research in quantum error correction and fault-tolerant systems
  • Develop quantum software frameworks compatible with major quantum computing platforms
  • Collaborate with hardware teams to advance qubit coherence and gate fidelity
  • Publish findings in top-tier journals and present at international conferences
  • Secure federal grants and corporate partnerships for quantum research initiatives
  • Mentor junior researchers and contribute to quantum education programs

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years research experience
  • Expertise in quantum circuit design and quantum programming languages (Q#, Qiskit, Cirq)
  • Published work in quantum computing or quantum information theory
  • Proficiency with high-performance computing environments and simulation tools
  • Demonstrated ability to secure research funding or patents
  • Experience with quantum hardware platforms (IBM, Rigetti, IonQ)
  • Strong analytical skills and ability to communicate complex concepts to diverse audiences

Required Skills

Quantum Computing Quantum Algorithms Quantum Programming Research Machine Learning Physics High-Performance Computing

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