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Quantum AI Research Engineer

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking visionary Quantum AI Research Engineers to pioneer breakthroughs in quantum machine learning and computational intelligence. As a key member of our elite R&D team, you'll develop next-generation algorithms that redefine human-machine collaboration. Our state-of-the-art facility in San Francisco offers unparalleled resources to accelerate your research, including access to 128-qubit quantum processors and petascale AI supercomputers. We foster a culture of radical innovation where your ideas shape the future of artificial intelligence.

Responsibilities

  • Design and implement quantum neural networks for advanced pattern recognition
  • Develop hybrid quantum-classical ML models for real-world applications
  • Lead research in quantum-optimized algorithms for unsupervised learning
  • Collaborate with cross-functional teams to deploy quantum AI solutions
  • Publish findings in top-tier journals and present at international conferences
  • Secure patents for novel quantum computing methodologies
  • Mentor junior researchers and contribute to technical roadmaps

Qualifications

  • PhD in Quantum Computing, AI, or related field with 3+ years industry experience
  • Expertise in quantum algorithms (QAOA, VQE, Grover's search)
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
  • Strong background in machine learning frameworks (PyTorch, TensorFlow)
  • Published research in quantum machine learning or quantum information theory
  • Experience with high-performance computing and parallel processing
  • Demonstrated ability to translate theoretical concepts into practical applications

Required Skills

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

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