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Quantum AI Research Engineer

NexusLabs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join NexusLabs at the forefront of 2026's technological revolution as we pioneer quantum-AI integration for next-gen autonomous systems. We're seeking visionary Quantum AI Research Engineers to architect hybrid computational frameworks that will redefine machine learning paradigms. Work in our state-of-the-art facility collaborating with Nobel laureates and industry disruptors to solve humanity's most complex challenges—from climate modeling to personalized medicine.

Responsibilities

  • Design and implement quantum-enhanced machine learning algorithms for real-time data processing
  • Develop fault-tolerant quantum neural networks leveraging 1000+ qubit processors
  • Create hybrid classical-quantum computing frameworks for enterprise-scale AI applications
  • Lead cross-functional teams in prototyping quantum AI solutions for autonomous systems
  • Secure patents for breakthrough quantum computing methodologies in applied AI
  • Collaborate with NASA and DARPA on classified quantum security protocols
  • Publish research in Nature Quantum Computing and IEEE journals

Qualifications

  • PhD in Quantum Computing, Physics, or Computational Mathematics with 3+ years industry experience
  • Expertise in Qiskit, Cirq, and quantum circuit optimization frameworks
  • Published research in quantum machine learning or quantum error correction
  • Proficiency in Python, TensorFlow, and high-performance computing environments
  • Deep understanding of quantum entanglement and superposition principles
  • Experience with cryogenic quantum processor interfaces and control systems
  • Security clearance preferred for government-contracted projects

Required Skills

Quantum Computing Machine Learning Python Qiskit TensorFlow Quantum Algorithms Cryogenic Engineering High-Performance Computing

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