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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Researcher

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

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution as a Quantum AI Researcher. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. This is your chance to shape the future by developing groundbreaking algorithms that will redefine computational boundaries.

As a key member of our elite research team, you'll collaborate with Nobel laureates and industry pioneers to build quantum neural networks and accelerate machine learning paradigms. Our state-of-the-art lab in San Francisco offers unparalleled resources to explore uncharted territories in computational science.

Responsibilities

  • Design and implement quantum algorithms for machine learning optimization
  • Develop hybrid quantum-classical computing frameworks for real-world applications
  • Lead research initiatives in quantum cryptography and secure AI systems
  • Collaborate with hardware teams to optimize quantum processor performance
  • Publish breakthrough findings in top-tier journals and conferences
  • Advise on ethical implications of quantum AI deployment
  • Mentor junior researchers in quantum computing methodologies

Qualifications

  • PhD in Quantum Computing, Machine Learning, or related field
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq)
  • Published research in quantum machine learning or quantum information theory
  • Expertise in Python, TensorFlow, and quantum circuit design
  • Deep understanding of quantum error correction and fault tolerance
  • Proven track record of translating theoretical models into practical implementations
  • Strong background in linear algebra and quantum physics fundamentals

Required Skills

Quantum Computing Machine Learning Python TensorFlow Qiskit Quantum Cryptography Linear Algebra Research Methodology

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