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Quantum AI Research Scientist

Nexus Quantum Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Quantum Solutions at the forefront of 2026's technological revolution! We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll develop next-generation algorithms that redefine computational boundaries in cryptography, materials science, and autonomous systems. Our state-of-the-art lab in San Francisco offers unparalleled resources and collaboration with Nobel laureates and industry pioneers.

We offer competitive equity packages, flexible hybrid work arrangements, and comprehensive benefits including wellness stipends and professional development funds. Shape the future of technology with us!

Responsibilities

  • Design and implement novel quantum machine learning models for real-world applications
  • Lead cross-functional teams in developing quantum-resistant cryptographic protocols
  • Optimize quantum algorithms for scalability and error correction on fault-tolerant hardware
  • Publish breakthrough research in top-tier journals and conferences
  • Collaborate with hardware teams to co-design quantum-AI hybrid systems
  • Secure federal and private research grants for quantum AI initiatives

Qualifications

  • PhD in Quantum Computing, AI, or related field with 3+ years industry experience
  • Expertise in quantum circuit design and quantum machine learning frameworks
  • Proficiency in Python, Qiskit, and TensorFlow/PyTorch for quantum simulations
  • Published record in quantum information science or AI research
  • Deep understanding of NISQ-era limitations and fault-tolerant architectures
  • Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
  • Strong background in linear algebra, probability, and computational complexity

Required Skills

Quantum Computing Machine Learning Python Qiskit Cryptography Research Fault-Tolerant Systems

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