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Quantum AI Research Engineer 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join Nexus Future Labs at the bleeding edge of technological evolution. We're seeking a pioneering Quantum AI Research Engineer to architect solutions that will redefine human-machine collaboration by 2026. In this role, you'll develop hybrid quantum-classical AI systems that solve previously unsolvable computational challenges while maintaining ethical integrity. Our lab operates at the intersection of quantum computing, generative AI, and neuromorphic engineering, with resources dedicated to breakthrough research in climate modeling, drug discovery, and autonomous systems.

As part of our elite research team, you'll access cutting-edge quantum hardware, collaborate with Nobel laureates, and publish findings in top-tier journals. We offer competitive equity packages, flexible remote work options, and a culture that rewards intellectual curiosity. If you're ready to shape the technological landscape of tomorrow, apply now.

Responsibilities

  • Design and implement quantum neural networks for next-generation AI applications
  • Develop hybrid quantum-classical algorithms for optimization problems
  • Lead research in quantum-safe cryptography and AI alignment techniques
  • Create computational models for simulating complex quantum systems
  • Collaborate with hardware teams to optimize quantum circuit designs
  • Publish peer-reviewed research and present at international conferences
  • Mentor junior researchers and drive innovation in quantum AI methodologies

Qualifications

  • PhD in Quantum Computing, AI, or related field with 5+ years industry experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Expertise in machine learning frameworks (PyTorch, TensorFlow) and quantum libraries
  • Demonstrated experience with quantum error correction and fault-tolerant systems
  • Strong publication record in quantum machine learning or AI research
  • Knowledge of quantum hardware architectures (superconducting, trapped ion)
  • Experience with high-performance computing and parallel processing
  • Certification in quantum computing or advanced AI systems preferred

Required Skills

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

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