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Quantum AI Research Engineer

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

Job Description

Shape the future of human-machine collaboration in 2026. Nexus Quantum Labs seeks a visionary Quantum AI Research Engineer to pioneer next-generation neural interfaces and autonomous systems. Join our elite team at the forefront of quantum-entangled AI development, where your work will redefine technological boundaries.

We offer unparalleled resources for groundbreaking research, competitive equity packages, and a culture that rewards intellectual boldness. This role requires deep expertise in quantum computing, machine learning, and ethical AI framework design.

Responsibilities

  • Design and implement quantum-entangled neural networks for real-time data processing
  • Develop adaptive AI algorithms for autonomous system decision-making
  • Lead cross-functional R&D projects on quantum-cryptography-enhanced security protocols
  • Collaborate with nanotech teams to integrate quantum processors with biometric interfaces
  • Author peer-reviewed publications on quantum-AI convergence methodologies
  • mentor junior researchers in emerging quantum programming paradigms

Qualifications

  • PhD in Quantum Computing, AI, or Computational Physics (or equivalent experience)
  • 3+ years hands-on experience with quantum machine learning frameworks (Qiskit, Cirq)
  • Published research in quantum AI or related fields (arXiv/IEEE)
  • Proficiency in Python, TensorFlow/PyTorch, and low-level quantum assembly
  • Expertise in quantum error correction and fault-tolerant architectures
  • Demonstrated ability to translate theoretical concepts into deployable systems
  • Certification in Quantum Computing from recognized institutions (IBM, Google)

Required Skills

Quantum Computing Machine Learning Neural Networks Python TensorFlow Qiskit Cryptography Quantum Error Correction AI Ethics

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