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Quantum AI Research Scientist - 2026 Visionary

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 185.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that merge quantum mechanics with machine learning, solving humanity's grandest challenges. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into breakthrough applications.

This role demands intellectual curiosity and technical excellence. You'll collaborate with Nobel laureates and industry disruptors, pushing the limits of what's possible. We offer competitive equity packages, flexible work arrangements, and a culture that celebrates innovation. Help us build the future today.

Responsibilities

  • Design and implement hybrid quantum-AI algorithms for optimization and simulation
  • Lead cross-functional teams in prototyping quantum neural networks
  • Develop error-correction frameworks for quantum machine learning systems
  • Translate theoretical models into scalable production-ready solutions
  • Publish groundbreaking research in top-tier journals and conferences
  • Collaborate with hardware teams to co-design quantum-AI hardware interfaces
  • Secure $5M+ in government/private research grants

Qualifications

  • PhD in Quantum Computing, AI/ML, or Physics with 3+ years industry experience
  • Expertise in quantum circuit design and error correction protocols
  • Proficiency in Python, TensorFlow, and quantum SDKs (Qiskit, Cirq)
  • Track record of publishing in Nature/Science or equivalent venues
  • Experience with high-performance computing and distributed systems
  • Deep understanding of quantum machine learning architectures
  • Strong background in theoretical computer science or applied mathematics

Required Skills

Quantum Computing Machine Learning Python TensorFlow Qiskit Cirq Research Error Correction Neural Networks

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