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Quantum AI Research Engineer

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Shape the future of technology at Nexus Labs! We're seeking a visionary Quantum AI Research Engineer to pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. Join our elite team in San Francisco as we develop next-gen solutions for 2026 and beyond. You'll collaborate with Nobel laureates and industry disruptors in an environment that values curiosity, innovation, and bold thinking.

Our cutting-edge lab offers unparalleled resources including quantum processors, AI supercomputers, and a flexible hybrid work model. We provide comprehensive benefits including equity, wellness stipends, and continuous learning opportunities. If you're ready to solve humanity's most complex challenges, this is your moment.

Responsibilities

  • Design and implement quantum neural networks for advanced AI systems
  • Develop hybrid quantum-classical algorithms for real-world applications
  • Lead research in quantum machine learning optimization techniques
  • Collaborate with cross-functional teams to prototype and test quantum-AI solutions
  • Publish findings in peer-reviewed journals and industry conferences
  • Secure research funding through grant applications and partnerships
  • Mentor junior researchers and contribute to patent development

Qualifications

  • PhD in Quantum Computing, AI, Physics, or related field (or equivalent experience)
  • Expertise in quantum programming languages (Qiskit, Cirq, Q#)
  • Strong background in machine learning frameworks (PyTorch, TensorFlow)
  • Proven track record of published quantum computing research
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti)
  • Proficiency in Python, C++, and high-performance computing
  • Excellent problem-solving skills and collaborative mindset

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Python C++ Research Physics Neural Networks

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