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Quantum AI Research Scientist

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
10 Juli 2026
Deadline
10 Jul 2027

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking a visionary Quantum AI Research Scientist to develop groundbreaking algorithms that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry disruptors to transform theoretical concepts into scalable quantum computing frameworks. Our state-of-the-art lab in San Francisco offers unparalleled resources and a culture where innovation thrives. If you're passionate about shaping humanity's technological trajectory, this is your moment.

Responsibilities

  • Design and implement quantum machine learning models for next-gen autonomous systems
  • Lead cross-functional teams in developing error-corrected quantum processors
  • Architect hybrid AI-quantum frameworks for real-world enterprise applications
  • Publish breakthrough research in top-tier journals and conferences
  • Collaborate with government agencies on post-quantum cryptography standards
  • Mentor junior researchers in quantum algorithm development
  • Secure $2M+ in research grants for experimental validation

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 5+ years hands-on experience with quantum circuit design using Qiskit/Cirq
  • Published research in quantum error correction or variational algorithms
  • Expertise in high-performance computing and distributed quantum systems
  • Proficiency in Python, TensorFlow, and quantum simulation frameworks
  • Track record of translating theoretical models into practical implementations
  • Experience securing federal research grants (NSF/DOE preferred)
  • Strong background in topological quantum computing or quantum annealing

Required Skills

Quantum Computing Machine Learning Python TensorFlow Qiskit Cryptography High-Performance Computing Algorithm Design

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