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Quantum Computing Research Scientist

Nexus Quantum Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Quantum Dynamics at the forefront of technological revolution as we pioneer quantum solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-gen algorithms and hardware protocols that will redefine computational boundaries. This role offers unparalleled access to our state-of-the-art quantum lab and collaboration with Nobel laureate advisors. You'll shape the future of cryptography, materials science, and AI while advancing humanity's most ambitious technological frontiers.

Responsibilities

  • Design and implement quantum algorithms for practical industry applications in cryptography and AI
  • Lead experimental prototyping of quantum hardware systems with 100+ qubit stability
  • Collaborate with cross-disciplinary teams to develop hybrid quantum-classical computing frameworks
  • Author peer-reviewed publications and patent novel quantum methodologies
  • Mentor junior researchers in quantum information theory and error correction techniques
  • Secure $2M+ in annual research funding through NSF and DARPA proposals

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent industry experience)
  • 3+ years hands-on experience with quantum circuit design and quantum annealing systems
  • Proficiency in quantum programming languages (Qiskit, Cirq) and high-performance simulation tools
  • Published research in Nature/Science journals or equivalent top-tier publications
  • Deep understanding of quantum error correction and fault-tolerant architectures
  • Strong track record of translating theoretical concepts into experimental prototypes
  • Expertise in machine learning integration with quantum computing paradigms

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Quantum Error Correction Machine Learning Cryptography High-Performance Computing Research Methodology

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