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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're pioneering quantum algorithms that will redefine industries by 2026. As a Quantum Computing Research Scientist, you'll develop next-gen quantum systems to solve previously unsolvable challenges in cryptography, optimization, and materials science. Collaborate with Nobel laureates and cutting-edge engineers in our state-of-the-art facility.

We offer competitive equity packages, unlimited PTO, and a $20,000 annual tech stipend. Our culture embraces radical innovation and intellectual curiosity – where your breakthrough ideas could reshape humanity's technological trajectory.

Responsibilities

  • Design and implement novel quantum algorithms for practical applications
  • Lead experimental validation of quantum computing prototypes
  • Develop error-correction techniques for fault-tolerant quantum systems
  • Collaborate with hardware teams to optimize quantum circuit architectures
  • Publish research in top-tier journals and present at IEEE/APS conferences
  • Mentor junior researchers in quantum computing methodologies
  • Secure external funding through NSF and DARPA grants

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in Qiskit, Cirq, or similar quantum programming frameworks
  • Published peer-reviewed papers on quantum computing
  • Deep understanding of quantum error correction and fault tolerance
  • Experience with superconducting or trapped-ion quantum systems
  • Strong background in linear algebra and computational complexity
  • Validated ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Quantum Error Correction Fault-Tolerant Systems Superconducting Qubits Trapped-Ion Systems Linear Algebra Computational Complexity Machine Learning Cryptography

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