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Quantum AI Research Scientist

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

Job Description

Shape the future at Nexus Labs, where quantum computing meets artificial intelligence. We're pioneering the next frontier of technology, and we need visionary minds like yours to unlock unprecedented computational power. As a Quantum AI Research Scientist, you'll work in our state-of-the-art facility, collaborating with Nobel laureates and industry pioneers to develop algorithms that will redefine industries.

We offer unparalleled resources, including access to quantum hardware and a culture of relentless innovation. If you're driven to solve humanity's grandest challenges through quantum-AI integration, this is your moment. Join us in building the technologies that will define 2026 and beyond.

Responsibilities

  • Design and implement quantum machine learning algorithms for complex optimization problems
  • Develop hybrid quantum-classical computing frameworks for real-world applications
  • Lead experimental validation of quantum AI systems on proprietary quantum hardware
  • Collaborate with cross-functional teams to integrate quantum solutions into commercial products
  • Publish groundbreaking research in top-tier journals and conferences
  • Drive innovation in quantum error correction and fault-tolerant architectures
  • Mentor junior researchers and contribute to patent development

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • Expertise in quantum algorithms (QAOA, VQE, Grover's) and quantum programming (Q#, Qiskit)
  • Strong background in machine learning frameworks (PyTorch, TensorFlow) and high-performance computing
  • Proven track record of peer-reviewed publications in quantum/AI domains
  • Experience with quantum hardware interfaces and cloud quantum platforms
  • Deep understanding of quantum information theory and complexity classes
  • Exceptional problem-solving skills and ability to work in fast-paced research environments

Required Skills

Quantum Computing Machine Learning Q# Qiskit PyTorch Quantum Algorithms Fault-Tolerant Computing High-Performance Computing

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