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Quantum AI Researcher

Nexus Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Innovations Inc. at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking a visionary Quantum AI Researcher to develop next-generation artificial intelligence systems that leverage quantum computing principles. You'll collaborate with world-class scientists to transform theoretical models into practical applications, pushing the boundaries of computational intelligence. Our state-of-the-art facility in San Francisco offers unparalleled resources for groundbreaking research, including access to quantum processors and AI supercomputing clusters. We offer competitive compensation, flexible work arrangements, and opportunities to present findings at global tech conferences. If you're passionate about shaping the future of human-machine symbiosis, we invite you to apply.

Responsibilities

  • Design and implement quantum machine learning algorithms for advanced predictive modeling
  • Develop hybrid quantum-classical AI systems for real-world applications
  • Lead research initiatives in quantum neural networks and quantum-enhanced data processing
  • Collaborate with cross-functional teams to integrate quantum AI solutions into production systems
  • Publish research findings in peer-reviewed journals and present at industry conferences
  • Secure research grants and partnerships with quantum computing hardware providers
  • Mentor junior researchers and contribute to quantum AI open-source projects

Qualifications

  • PhD in Quantum Computing, AI, or related field with 3+ years research experience
  • Expertise in quantum algorithms and quantum machine learning frameworks
  • Proficiency in Python, TensorFlow/PyTorch, and quantum programming languages (Qiskit, Cirq)
  • Published research in quantum AI or quantum machine learning (minimum 2 peer-reviewed papers)
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, D-Wave)
  • Strong background in linear algebra, quantum mechanics, and computational complexity
  • Track record of securing research funding or industry partnerships
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Machine Learning AI Research Python TensorFlow Quantum Algorithms Qiskit Cirq Neural Networks Predictive Modeling Data Processing

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