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Quantum AI Research Scientist

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

Job Description

Join Nexus Future Labs at the forefront of technological evolution in 2026. We're pioneering quantum-AI convergence solutions that will redefine industries worldwide. As our Quantum AI Research Scientist, you'll architect next-generation algorithms at the intersection of quantum computing and artificial intelligence, working in our state-of-the-art San Francisco lab. This role offers unparalleled opportunity to shape humanity's technological future while enjoying competitive compensation, flexible schedules, and groundbreaking projects.

Our ideal candidate thrives in ambiguity, possesses deep theoretical knowledge, and translates complex quantum principles into practical AI applications. You'll collaborate with Nobel laureates and industry disruptors in an environment that values intellectual curiosity above all else.

Responsibilities

  • Design and implement quantum machine learning algorithms for real-world applications
  • Lead research initiatives in quantum neural networks and hybrid quantum-classical systems
  • Develop scalable quantum-AI frameworks compatible with emerging hardware platforms
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Publish peer-reviewed research and present findings at top-tier conferences
  • Mentor junior researchers and drive innovation through experimental prototyping
  • Secure patents for novel quantum-AI methodologies and architectures

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
  • Expertise in quantum algorithms (Shor's, Grover's, VQE) and error correction techniques
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and Python frameworks
  • Strong background in machine learning (TensorFlow, PyTorch, reinforcement learning)
  • Demonstrated ability to publish in Nature/Science or equivalent high-impact journals
  • Experience with quantum hardware integration (IBM Quantum, Rigetti, IonQ)
  • Exceptional problem-solving skills for complex multi-variable optimization challenges

Required Skills

quantum computing machine learning Qiskit TensorFlow quantum algorithms Python neural networks optimization

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