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Information Technology 🏢 Full Time ⭐️ Verified

2026 Quantum AI Research Scientist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus Innovations at the forefront of 2026's quantum AI revolution. We're pioneering breakthroughs in quantum machine learning and neural network optimization that will redefine technology's next decade. As part of our elite R&D division, you'll collaborate with Nobel laureates and Silicon Valley visionaries to develop scalable quantum algorithms for real-world applications. Our state-of-the-art lab features D-Wave quantum processors and NVIDIA's latest AI supercomputers. Enjoy flexible work arrangements, unlimited learning stipends, and equity in a company valued at $2B+. Shape the future of human-machine intelligence.

Responsibilities

  • Design and implement quantum neural networks for pattern recognition and predictive analytics
  • Develop hybrid quantum-classical ML pipelines for enterprise clients
  • Lead research initiatives in quantum error correction and coherence optimization
  • Collaborate with hardware teams to prototype quantum-AI accelerators
  • Publish findings in Nature Quantum and IEEE journals
  • Mentor junior researchers on quantum algorithm development
  • Secure $1M+ in annual research grants from NSF and DARPA

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Physics (or equivalent experience)
  • Expertise in Qiskit, Cirq, or PennyLane frameworks
  • Published research in quantum machine learning or quantum information theory
  • Proficiency in Python, TensorFlow, and quantum circuit design
  • Experience with superconducting qubits or trapped-ion systems
  • Strong background in linear algebra and quantum mechanics
  • Demonstrated ability to lead cross-functional technical teams
  • Patent portfolio or peer-reviewed publications preferred

Required Skills

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

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