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Quantum AI Research Scientist

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

Job Description

Join Nexus Future Labs at the frontier of 2026's technological revolution. We're seeking a visionary Quantum AI Research Scientist to pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. Our multidisciplinary team is developing next-gen algorithms that will redefine computational paradigms for industries ranging from pharmaceuticals to climate modeling. This role offers unparalleled access to cutting-edge quantum hardware and collaborative partnerships with leading academic institutions.

You'll work in our state-of-the-art San Francisco lab, where innovation thrives through cross-functional collaboration with quantum physicists, ML engineers, and domain experts. We offer competitive compensation, comprehensive benefits, and a flexible work environment designed to maximize creativity and impact.

Responsibilities

  • Design and implement novel quantum machine learning algorithms for complex computational challenges
  • Collaborate with quantum hardware teams to optimize AI models for quantum processor architectures
  • Lead research initiatives in quantum neural networks and hybrid quantum-classical systems
  • Publish breakthrough findings in top-tier journals and present at international conferences
  • Develop scalable frameworks for quantum-accelerated data analysis and pattern recognition
  • Mentor junior researchers and foster an environment of scientific excellence
  • Secure external funding through NSF and industry partnerships

Qualifications

  • PhD in Quantum Computing, Machine Learning, or related computational field
  • 3+ years of experience in quantum algorithm development or quantum machine learning
  • Expertise in Python, C++, and quantum programming frameworks (Qiskit, Cirq)
  • Strong publication record in quantum computing or AI research
  • Deep understanding of quantum information theory and error mitigation techniques
  • Experience with high-performance computing and distributed systems
  • Proven ability to translate theoretical concepts into practical implementations
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Machine Learning Python C++ Qiskit Cirq Quantum Algorithms High-Performance Computing

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