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Quantum Computing Research Scientist

NexGen Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join NexGen Quantum Labs at the forefront of computational revolution. As a Quantum Computing Research Scientist, you'll architect next-gen algorithms for 2026+ applications in cryptography, AI optimization, and molecular modeling. Our state-of-the-art facility in San Francisco's innovation hub offers unparalleled resources to transform theoretical breakthroughs into tangible solutions.

We're seeking pioneers who thrive at the intersection of physics, computer science, and scalable quantum systems. Collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges. Your work will directly influence quantum computing's commercialization timeline and shape the technological landscape of the coming decade.

Responsibilities

  • Design and implement quantum algorithms for practical 2026 applications
  • Lead research in quantum error correction and fault-tolerant systems
  • Develop hybrid quantum-classical computing frameworks
  • Publish breakthrough research in top-tier journals and conferences
  • Secure external funding through NSF and DARPA grants
  • Mentor PhD candidates and postdoctoral researchers
  • Partner with industry leaders to commercialize quantum solutions

Qualifications

  • PhD in Physics, Computer Science, or Quantum Information Science
  • 3+ years of hands-on quantum programming experience (Qiskit, Cirq)
  • Published research in quantum computing or related fields
  • Expertise in quantum error correction and decoherence mitigation
  • Strong background in linear algebra and computational complexity
  • Experience with cryogenic quantum systems or photonic processors
  • Track record of securing research grants or patents
  • Ability to communicate complex quantum concepts to diverse stakeholders

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Quantum Error Correction Cryogenic Systems Machine Learning Linear Algebra Grant Writing Photonic Quantum Computing

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