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2026 Quantum AI Researcher

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration. We're seeking a visionary 2026 Quantum AI Researcher to architect breakthrough systems that will redefine computational boundaries. This role offers unparalleled access to cutting-edge labs and collaborative partnerships with global research institutions. You'll develop novel algorithms for quantum machine learning, optimize quantum error correction protocols, and lead cross-functional teams in translating theoretical models into scalable solutions.

Responsibilities

  • Design and implement quantum-AI hybrid algorithms for next-gen computational systems
  • Lead research on quantum neural networks and adaptive quantum computing frameworks
  • Develop error-mitigation protocols for quantum-AI co-processing environments
  • Collaborate with hardware teams to optimize quantum-AI system architectures
  • Publish breakthrough research in peer-reviewed journals and industry conferences
  • Mentor junior researchers and establish best practices for quantum-AI development
  • Secure patents for novel quantum-AI methodologies and system designs

Qualifications

  • PhD in Quantum Computing, AI, or related field with 5+ years industry experience
  • Expertise in quantum machine learning frameworks (e.g., Qiskit, PennyLane)
  • Proven track record of publishing in Nature/Science journals or top-tier conferences
  • Deep understanding of quantum error correction and fault-tolerant architectures
  • Proficiency in high-performance computing environments (HPC, GPU/TPU clusters)
  • Demonstrated experience leading technical teams and complex research initiatives
  • Strong background in at least one classical ML framework (TensorFlow, PyTorch)
  • Exceptional problem-solving skills for multi-dimensional computational challenges

Required Skills

Quantum Computing Machine Learning Quantum Algorithms Error Correction AI Research High-Performance Computing Neural Networks Scientific Publishing

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