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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's quantum revolution. We're seeking visionary Research Scientists to architect next-gen quantum algorithms that will redefine computational boundaries. Work alongside Nobel laureates and industry pioneers in our state-of-the-art San Francisco lab, where your breakthroughs could solve humanity's most complex challenges—from drug discovery to climate modeling. This is your chance to shape the future of technology while enjoying unparalleled compensation and research autonomy.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead cutting-edge research in quantum error correction and fault-tolerant systems
  • Collaborate with hardware teams to prototype quantum processors using superconducting and photonic platforms
  • Publish breakthrough findings in top-tier journals and present at IEEE Quantum Week
  • Secure $5M+ in research grants from NSF and DARPA
  • Mentor PhD candidates and postdocs in quantum information science
  • Develop patentable IP for commercial quantum applications

Qualifications

  • PhD in Quantum Physics, Computer Science, or Applied Mathematics with 3+ years research experience
  • Expertise in quantum circuit design and quantum programming languages (Qiskit, Cirq, Quipper)
  • Published work in Nature/Science or IEEE Transactions on Quantum Engineering
  • Proficiency in Python, C++, and high-performance computing frameworks
  • Deep understanding of quantum entanglement and decoherence mitigation
  • Experience with quantum annealing and variational quantum algorithms
  • Track record of securing government or corporate research funding

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Cirq Superconducting Qubits Photonic Computing Machine Learning High-Performance Computing Python C++ Patent Development

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