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Quantum Computing Research Scientist (2026 Initiative)

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Quantum Labs at the forefront of the 2026 technological revolution. We're pioneering quantum computing solutions that will redefine industries, and we need visionary researchers to accelerate our mission. This role offers unparalleled opportunity to work in state-of-the-art facilities with industry pioneers while shaping the next decade of innovation.

Our 2026 Initiative combines quantum supremacy, AI integration, and sustainable tech development. You'll collaborate with Nobel laureates and disruptors in an environment where breakthroughs are expected, not just hoped for. If you're passionate about solving humanity's grand challenges through quantum mechanics, this is your calling.

Responsibilities

  • Design and execute quantum algorithms for real-world applications in cryptography, materials science, and optimization
  • Develop error-correction protocols to achieve fault-tolerant quantum computing
  • Lead cross-functional teams integrating quantum solutions with classical AI systems
  • Publish breakthrough research in top-tier journals and present at global tech forums
  • Secure $1M+ in research grants for 2026 initiative projects
  • Mentor PhD candidates and junior researchers in quantum methodologies
  • Patent novel quantum computing architectures and processes

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years research experience
  • Published work in Nature/Science journals on quantum computing or quantum algorithms
  • Expertise in quantum error correction and fault-tolerant systems
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Experience securing federal grants (NSF, DARPA, DOE) or venture funding
  • Demonstrated ability to lead technical teams of 10+ researchers
  • Deep understanding of quantum hardware architectures (superconducting, photonic, ion trap)
  • Strong background in machine learning integration with quantum systems

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Fault-Tolerant Systems Quantum Hardware Machine Learning Research Leadership Grant Writing

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