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Quantum AI Research Engineer

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

Job Description

Join Nexus Labs at the frontier of 2026's technological revolution! We're seeking a Quantum AI Research Engineer to pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. As a key member of our Innovation Division, you'll develop next-gen algorithms that redefine computational boundaries and solve previously impossible challenges. Work in a state-of-the-art lab with cutting-edge quantum hardware and collaborate with Nobel laureates to shape the future of human-machine symbiosis. This is your chance to leave an indelible mark on the next technological paradigm shift.

Responsibilities

  • Design and implement quantum machine learning algorithms for optimization and pattern recognition
  • Develop hybrid quantum-classical neural networks for enhanced computational efficiency
  • Conduct experimental validation of quantum AI prototypes on real quantum processors
  • Lead research in quantum error correction and fault-tolerant systems
  • Collaborate with cross-functional teams to integrate quantum solutions into commercial applications
  • Author peer-reviewed publications and patents in quantum AI methodologies
  • Mentor junior researchers and contribute to quantum education initiatives

Qualifications

  • PhD in Quantum Computing, Computer Science, Physics, or related field (Master's with exceptional experience)
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
  • Proven experience with machine learning frameworks (TensorFlow, PyTorch) and AI model optimization
  • Strong background in linear algebra, probability theory, and information science
  • Research experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Demonstrated ability to publish in top-tier journals/conferences (Nature, Science, NeurIPS, QIP)
  • Exceptional problem-solving skills and ability to work in fast-paced research environments

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Q# Qiskit Cirq TensorFlow PyTorch Quantum Hardware Research

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