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Quantum AI Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence to solve humanity's greatest challenges. As a Quantum AI Research Scientist, you'll develop hybrid algorithms that leverage quantum computing's exponential power with advanced machine learning. Our state-of-the-art facility in San Francisco offers unparalleled resources to push computational boundaries. If you're passionate about redefining what's possible in AI and quantum systems, this is your chance to shape tomorrow's reality.

Responsibilities

  • Design and implement quantum machine learning algorithms for real-world applications
  • Develop error-corrected quantum neural networks using superconducting qubits
  • Create hybrid quantum-classical computing frameworks for optimization problems
  • Collaborate with cross-functional teams to deploy quantum-AI solutions
  • Publish research in peer-reviewed journals and present at international conferences
  • Mentor junior researchers and contribute to patent development
  • Stay current with emerging quantum hardware advancements and AI research

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of experience with quantum algorithms and machine learning frameworks
  • Proficiency in quantum programming languages (Qiskit, Cirq) and Python
  • Strong background in linear algebra, quantum mechanics, and statistical modeling
  • Demonstrated ability to publish high-impact research in quantum-AI
  • Experience with superconducting qubit systems or quantum annealing
  • Excellent problem-solving skills for complex, interdisciplinary challenges
  • Preferred: Start-up experience or industry collaboration in quantum computing

Required Skills

Quantum Computing Machine Learning Qiskit Cirq Python Linear Algebra Quantum Mechanics Superconducting Qubits Neural Networks Optimization Algorithms

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