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Information Technology 🏢 Full Time ⭐️ Verified

Senior Quantum AI Research Engineer

Nexus Quantum Dynamics
San Francisco
Estimated Salary
USD 220.000 – USD 350.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence to solve humanity's most complex challenges. As a Senior Quantum AI Research Engineer, you'll architect next-generation algorithms that bridge quantum computing with machine learning, transforming industries from healthcare to climate science. Our state-of-the-art lab offers unparalleled resources, including 1000-qubit quantum processors and neural-quantum hybrid systems. Collaborate with Nobel laureates and disrupt industries with breakthrough innovations.

We offer equity packages, flexible work arrangements, and dedicated R&D budgets. Shape the future of technology while enjoying San Francisco's vibrant tech ecosystem.

Responsibilities

  • Design and implement quantum machine learning algorithms for 2026-era computational challenges
  • Develop hybrid quantum-classical neural networks for real-world problem solving
  • Lead cross-functional teams in prototyping quantum-AI applications across healthcare, logistics, and energy sectors
  • Publish breakthrough research in top-tier journals and conferences
  • Optimize quantum circuits for error correction and scalability in commercial environments
  • Mentor junior engineers in quantum computing principles and AI integration
  • Collaborate with hardware teams to co-design quantum processors optimized for ML workloads

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Computational Physics (MS with 5+ years experience)
  • Expertise in quantum programming frameworks (Qiskit, Cirq, PennyLane) and ML libraries (TensorFlow Quantum, PyTorch)
  • Proven track record of publishing in quantum-AI research or developing commercial quantum applications
  • Deep understanding of quantum algorithms (Shor's, Grover's, VQE) and their ML applications
  • Experience with high-performance computing environments and distributed quantum systems
  • Strong background in neural networks, optimization theory, and statistical modeling
  • Ability to translate complex quantum concepts into practical engineering solutions

Required Skills

Quantum Computing Machine Learning Python Qiskit TensorFlow Quantum Cirq PyTorch Neural Networks Quantum Algorithms High-Performance Computing

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