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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Shape the future of technology with Nexus Quantum Labs as we pioneer the next frontier of computational power. We're seeking a visionary Quantum Computing Research Scientist to lead breakthrough projects in quantum algorithms and error correction by 2026. Join our elite team at the intersection of physics, computer science, and artificial intelligence in San Francisco's vibrant tech ecosystem.

Our state-of-the-art facility offers unparalleled resources for quantum experimentation, including access to 100+ qubit processors and collaboration with Nobel laureates. This role empowers you to publish groundbreaking research, mentor emerging scientists, and develop patents that will redefine industries from pharmaceuticals to climate modeling.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop quantum error correction protocols to enhance computational stability
  • Lead interdisciplinary research teams in quantum machine learning applications
  • Collaborate with hardware engineers to optimize quantum processor performance
  • Publish findings in top-tier journals (Nature, Science, etc.)
  • Secure research grants from DARPA and NSF initiatives
  • Present breakthroughs at international quantum computing conferences

Qualifications

  • PhD in Quantum Physics, Computer Science, or Applied Mathematics
  • 3+ years of hands-on quantum programming (Qiskit, Cirq, or Q#)
  • Published research in quantum information theory or quantum algorithms
  • Expertise in quantum error correction techniques and fault-tolerant computing
  • Strong background in linear algebra and complex analysis
  • Experience with high-performance computing environments
  • Proven ability to secure competitive research funding

Required Skills

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

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