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Quantum AI Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Shape the future at Nexus Labs, where quantum computing meets artificial intelligence. We're seeking visionary Quantum AI Research Scientists to pioneer breakthrough technologies that will define 2026 and beyond. Join our elite team in San Francisco, working with cutting-edge quantum processors and neural networks to solve humanity's most complex challenges.

Our state-of-the-art facility offers unparalleled resources for quantum algorithm development, machine learning optimization, and hardware-software co-design. You'll collaborate with Nobel laureates and industry pioneers in an environment that values intellectual curiosity and bold innovation.

We offer competitive compensation, comprehensive benefits, and the opportunity to publish groundbreaking research in partnership with leading universities. If you're ready to push the boundaries of what's possible, Nexus Labs is where your quantum journey begins.

Responsibilities

  • Design and implement novel quantum neural network architectures for advanced AI applications
  • Develop quantum algorithms to exponentially accelerate machine learning processes
  • Collaborate with hardware teams to optimize quantum processor performance for AI workloads
  • Lead research initiatives in quantum machine learning and quantum-enhanced data analysis
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and contribute to quantum AI curriculum development
  • Secure research funding through government grants and private partnerships

Qualifications

  • Ph.D. in Quantum Computing, Physics, Computer Science, or related field (or equivalent research experience)
  • Expertise in quantum algorithms, quantum machine learning, and quantum information theory
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, PennyLane) and classical ML frameworks (TensorFlow, PyTorch)
  • Strong publication record in quantum computing or AI research
  • Experience with quantum hardware platforms (superconducting qubits, trapped ions)
  • Demonstrated ability to lead complex research projects from conception to publication
  • Excellent communication skills with ability to translate complex concepts for diverse audiences

Required Skills

Quantum Computing Quantum Machine Learning Quantum Algorithms AI Research Python TensorFlow Qiskit Cirq Scientific Publishing Hardware-Software Co-design

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