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Quantum AI Research Scientist

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

Job Description

Join Nexus Labs at the frontier of 2026's technological revolution. We're pioneering quantum-AI fusion systems that will redefine computational paradigms. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that bridge quantum supremacy and machine learning, solving humanity's most complex challenges in cryptography, climate modeling, and drug discovery. Our state-of-the-art lab offers unparalleled resources and collaborative freedom to transform theoretical breakthroughs into real-world impact.

Why Nexus Labs?

• Cutting-edge quantum computing infrastructure
• $500M+ R&D budget with 0% bureaucracy
• Direct collaboration with Nobel laureates
• Flexible remote-first work model with quarterly in-person innovation retreats
• Comprehensive equity package and wellness stipend

Responsibilities

  • Design and implement quantum-AI hybrid algorithms for 2026-era applications
  • Lead research in quantum machine learning optimization and error correction
  • Publish breakthrough findings in top-tier journals (Nature/Science)
  • Collaborate with hardware teams to co-design quantum processors
  • Develop patentable IP for quantum encryption systems
  • Mentor junior researchers in quantum-AI methodologies
  • Secure $2M+ in government/private research grants

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Physics (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development
  • Published research in quantum-AI fusion systems
  • Proficiency in Qiskit, Cirq, or equivalent quantum frameworks
  • Expertise in tensor networks and quantum circuit optimization
  • Strong background in high-performance computing (HPC)
  • Experience securing federal research grants (NSF/DOE)
  • Portfolio of 5+ peer-reviewed publications

Required Skills

Quantum Computing Machine Learning Qiskit Cirq Quantum Algorithms High-Performance Computing Research Grants Tensor Networks Patent Development

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