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Quantum AI Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking visionary Quantum AI Research Scientists to architect next-generation systems that will redefine computational boundaries by 2026. Our multidisciplinary team operates at the intersection of quantum mechanics, machine learning, and advanced algorithms in a state-of-the-art facility overlooking the Bay. You'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges – from drug discovery to climate modeling – using quantum-entangled neural networks. This is your opportunity to shape the technological landscape of tomorrow while enjoying unparalleled professional growth in one of the world's most vibrant innovation ecosystems.

Responsibilities

  • Design and implement quantum machine learning algorithms leveraging qubit entanglement for exponential computational speedups
  • Develop hybrid quantum-classical AI architectures for real-world optimization problems
  • Lead research initiatives in quantum neural networks and quantum-enhanced deep learning
  • Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
  • Author breakthrough research papers for top-tier journals and conferences (Nature, NeurIPS, etc.)
  • Mentor junior researchers and drive quantum AI curriculum development
  • Secure federal grants and industry partnerships for quantum AI research initiatives

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, Computer Science, or related field (with published quantum research)
  • 3+ years of experience in quantum algorithm development or quantum machine learning
  • Expertise in quantum programming frameworks (Qiskit, Cirq, Q#) and quantum circuit optimization
  • Strong background in advanced mathematics including linear algebra, probability theory, and quantum mechanics
  • Proficiency in classical AI/ML frameworks (TensorFlow, PyTorch) and high-performance computing
  • Demonstrated ability to translate complex quantum concepts into practical engineering solutions
  • Track record of securing research funding or industry partnerships in quantum technologies

Required Skills

quantum computing quantum algorithms machine learning quantum programming Qiskit Cirq neural networks theoretical physics AI research quantum hardware optimization

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