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Quantum AI Research Scientist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we pioneer breakthroughs in quantum-AI convergence for 2026 and beyond. We seek a visionary Quantum AI Research Scientist to develop next-generation algorithms that redefine computational boundaries. Collaborate with Nobel laureates and industry pioneers in our state-of-the-art facility where theoretical physics meets practical application. This role offers unparalleled opportunities to shape humanity's technological trajectory while working on projects with global impact.

Our dynamic environment fosters innovation through cross-disciplinary collaboration, flexible R&D budgets, and access to quantum computing infrastructure. We offer competitive equity packages, unlimited professional development, and a culture that celebrates intellectual curiosity. If you're ready to solve problems that don't yet have solutions, apply today to become an architect of tomorrow.

Responsibilities

  • Design and implement novel quantum machine learning algorithms for 2026-era computational challenges
  • Lead research initiatives in quantum neural networks and hybrid quantum-classical systems
  • Develop scalable frameworks for real-time quantum error correction in AI applications
  • Publish groundbreaking research in top-tier journals and conferences
  • Collaborate with hardware teams to optimize quantum-AI system integration
  • Secure external funding through NSF and DARPA proposals
  • Mentor junior researchers in quantum computing methodologies

Qualifications

  • PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Expertise in quantum programming languages (Q#, Qiskit, or Cirq)
  • Published research in quantum machine learning or quantum information theory
  • Strong proficiency in Python, TensorFlow/PyTorch, and high-performance computing
  • Demonstrated ability to translate theoretical concepts into practical implementations
  • Experience with cloud-based quantum computing platforms (IBM Quantum, AWS Braket)

Required Skills

Quantum Computing Machine Learning AI Research Quantum Algorithms Python TensorFlow Qiskit High-Performance Computing Neural Networks

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