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Quantum AI Research Engineer

Nexus Systems Inc.
San Francisco
Estimated Salary
USD 185.000 – USD 275.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Systems Inc. at the forefront of technological revolution as we pioneer the next generation of AI systems. Our Quantum AI Research Engineer role offers an unparalleled opportunity to shape the future of artificial intelligence by merging quantum computing with machine learning. You'll collaborate with Nobel Prize-winning physicists and world-class AI specialists in our state-of-the-art research facility, developing algorithms that solve previously impossible computational challenges. This position includes competitive equity packages, flexible work arrangements, and access to our $500M innovation fund.

Responsibilities

  • Design and implement quantum machine learning algorithms for real-world applications
  • Lead research initiatives in quantum neural networks and hybrid quantum-classical systems
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Develop scalable AI solutions for cryptography, drug discovery, and climate modeling
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor junior researchers and drive cross-functional innovation

Qualifications

  • PhD in Quantum Computing, Machine Learning, or related field
  • 3+ years of experience in quantum algorithm development
  • Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
  • Deep expertise in Python, TensorFlow/PyTorch, and high-performance computing
  • Published research in quantum machine learning or top AI conferences
  • Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
  • Strong background in linear algebra, probability, and quantum mechanics

Required Skills

Quantum Computing Machine Learning Python TensorFlow Qiskit Quantum Algorithms High-Performance Computing Cryptography

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