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Quantum AI Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion systems to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to develop next-gen computational frameworks. Our state-of-the-art facility in San Francisco offers unparalleled resources, including a 512-qubit quantum processor and petascale AI clusters. We provide competitive equity packages, flexible work arrangements, and exclusive access to our innovation incubator. Shape the future of technology while accelerating your career in an environment that values bold thinking and breakthrough innovation.

Responsibilities

  • Design and implement quantum-AI hybrid algorithms for optimization and machine learning applications
  • Lead experimental validation of quantum computational models using advanced simulators and hardware
  • Develop novel error-correction techniques for quantum neural networks
  • Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
  • Publish high-impact research in top-tier journals and present findings at international conferences
  • Mentor junior researchers and drive cross-functional innovation initiatives

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or Machine Learning with 3+ years research experience
  • Expertise in quantum circuit design and quantum machine learning frameworks (e.g., PennyLane, Qiskit)
  • Published work in quantum algorithms or quantum-AI integration
  • Proficiency in Python, C++, and high-performance computing environments
  • Strong background in linear algebra, probability theory, and computational complexity
  • Experience with cloud quantum computing platforms (IBM Quantum, AWS Braket)
  • Demonstrated ability to secure research funding and lead technical projects

Required Skills

Quantum Computing Machine Learning AI Research Python C++ Quantum Algorithms Theoretical Physics High-Performance Computing

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