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Quantum Computing Research Scientist

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Dynamics at the forefront of quantum revolution. We're pioneering next-gen computing solutions that will redefine industries by 2026. As a Quantum Research Scientist, you'll develop breakthrough algorithms, optimize quantum hardware-software interfaces, and collaborate with MIT/Caltech partners to solve previously impossible computational challenges. Our state-of-the-art lab in San Francisco offers unparalleled resources including 128-qubit processors and dedicated quantum annealing systems. We provide competitive equity packages, flexible hybrid work, and access to exclusive industry conferences. Shape the future of technology with us.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation
  • Develop quantum error correction protocols for fault-tolerant computing
  • Collaborate with hardware teams to optimize quantum software-hardware integration
  • Lead research publications in top-tier journals (Nature, Science, PRL)
  • Mentor junior researchers and contribute to quantum education initiatives
  • Secure $2M+ in annual research grants from NSF/DARPA
  • Translate theoretical breakthroughs into commercial applications

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of quantum algorithm development experience
  • Proficiency in Qiskit, Cirq, or equivalent quantum frameworks
  • Published research in quantum computing or condensed matter physics
  • Strong background in linear algebra and quantum mechanics
  • Experience with superconducting or ion-trap quantum systems
  • Ability to secure government and private research funding
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Fault Tolerance Superconducting Systems Research Machine Learning Python Linear Algebra

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