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Quantum AI Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
6 Juli 2026
Deadline
6 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer quantum-AI integration for 2026 and beyond. We're seeking visionary researchers to develop next-generation algorithms that merge quantum computing with artificial intelligence. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility, pushing boundaries in cryptography, optimization, and machine learning. This role offers unparalleled resources, including access to 512-qubit quantum processors and dedicated research grants. Our inclusive culture encourages bold experimentation and celebrates breakthrough innovations that redefine human potential.

Responsibilities

  • Design and implement quantum machine learning algorithms for complex optimization problems
  • Lead cross-functional teams in developing hybrid quantum-classical AI systems
  • Publish breakthrough research in peer-reviewed journals and industry conferences
  • Develop patentable quantum encryption protocols for next-gen security
  • Mentor junior researchers and contribute to quantum education initiatives
  • Collaborate with hardware teams to optimize quantum circuit architectures

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 3+ years research experience
  • Expertise in quantum algorithms (Shor's, Grover's, VQE) and error correction techniques
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
  • Publication record in Nature/Science or top-tier quantum computing conferences
  • Demonstrated experience with large-scale machine learning frameworks (TensorFlow, PyTorch)
  • Strong background in linear algebra, probability theory, and complex analysis
  • Ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Machine Learning Python Qiskit TensorFlow Cryptography Optimization Algorithm Design Research

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