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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Research Engineer

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

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We seek visionary Quantum AI Research Engineers to develop groundbreaking algorithms that will redefine computational boundaries. Our interdisciplinary team operates in state-of-the-art facilities where you'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges.

This role offers unparalleled opportunities to shape the future of technology through hands-on research, patent development, and real-world deployment of quantum machine learning systems. You'll work with cutting-edge hardware including 1000+ qubit processors and contribute to projects spanning cryptography, drug discovery, and climate modeling.

Responsibilities

  • Design and implement quantum algorithms for machine learning applications
  • Develop hybrid quantum-classical neural network architectures
  • Optimize quantum circuits for error correction and scalability
  • Collaborate with hardware teams to bridge quantum software-hardware interfaces
  • Lead research initiatives in quantum-resistant cryptography
  • Publish findings in top-tier journals and industry whitepapers
  • Mentor junior researchers in quantum computing principles

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (MS with exceptional experience)
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Deep understanding of quantum error correction and fault tolerance
  • Experience with machine learning frameworks (TensorFlow, PyTorch)
  • Published research in quantum information science or related fields
  • Strong analytical skills with ability to translate theoretical concepts to practical applications
  • Excellent communication skills for cross-functional collaboration

Required Skills

Quantum Computing Machine Learning Qiskit Q# Error Correction Cryptography Neural Networks TensorFlow PyTorch

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