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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join the quantum revolution at Nexus Quantum Labs as we pioneer the next frontier of computational science. We're seeking a visionary Research Scientist to shape the future of quantum computing by 2026. In this role, you'll design groundbreaking quantum algorithms, develop error-correction protocols, and collaborate with Nobel laureates to solve previously impossible computational challenges. Our state-of-the-art lab features 128-qubit processors and offers unparalleled resources for experimental research.

Located in San Francisco's vibrant tech ecosystem, you'll work alongside interdisciplinary teams of physicists, computer scientists, and engineers. We provide competitive equity packages, flexible research budgets, and opportunities to publish in top-tier journals. If you're passionate about harnessing quantum mechanics to transform industries, this is your chance to make history.

Responsibilities

  • Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
  • Develop quantum error correction codes and fault-tolerant computing architectures
  • Lead experimental research using superconducting qubit and trapped-ion systems
  • Collaborate with hardware teams to translate theoretical concepts into practical implementations
  • Publish research in Nature, Science, and IEEE journals with quarterly review cycles
  • Mentor PhD candidates and contribute to quantum computing curriculum development
  • Secure federal and private research grants (average $2M/year funding available)

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years research experience
  • Published work in quantum algorithm development or error correction (minimum 3 peer-reviewed papers)
  • Proficiency in quantum programming languages: Qiskit, Cirq, or Q#
  • Expertise in quantum hardware: superconducting qubits, trapped ions, or photonic systems
  • Strong background in linear algebra, complex analysis, and information theory
  • Experience with high-performance computing environments and HPC frameworks
  • Proven ability to secure competitive research grants (NSF, DoE, or DARPA preferred)

Required Skills

Quantum Computing Quantum Algorithms Error Correction Superconducting Qubits Qiskit Cirq Machine Learning High-Performance Computing Research Grant Writing

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