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2026 Quantum AI Research Lead

Nexus Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Mei 2026
Deadline
30 Mei 2027

Job Description

Join Nexus Dynamics at the forefront of technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking a visionary 2026 Quantum AI Research Lead to architect the next generation of computational paradigms. This role demands an architect of tomorrow's digital frontier, where you'll lead groundbreaking research in quantum machine learning, neural networks, and cryptographic breakthroughs. Our Austin hub offers a state-of-the-art lab environment where your innovations will directly shape the technological landscape of the coming decade.

As a key member of our Future Systems Division, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges. We offer equity packages, flexible research parameters, and unparalleled resources to accelerate your breakthroughs. This isn't just a jobβ€”it's your chance to define how 2026's world will compute, communicate, and create.

Responsibilities

  • Lead cross-functional R&D initiatives in quantum neural networks and AI optimization
  • Architect hybrid quantum-classical computing frameworks for enterprise applications
  • Develop novel quantum-resistant encryption protocols for next-gen security
  • Mentor a team of quantum AI specialists while publishing high-impact research
  • Collaborate with hardware teams to co-design quantum-AI accelerator systems
  • Secure partnerships with national labs and quantum computing pioneers
  • Translate theoretical breakthroughs into scalable commercial solutions

Qualifications

  • PhD in Quantum Computing, AI, or Computational Physics with 5+ years industry experience
  • Expertise in quantum machine learning frameworks (Qiskit, Cirq, or PennyLane)
  • Proven track record publishing in Nature/Science journals or equivalent venues
  • Mastery of quantum algorithms, error correction, and fault tolerance protocols
  • Strong background in deep learning architectures and distributed computing
  • Experience securing multi-million dollar research grants or contracts
  • Fluency in Python/C++ with quantum programming proficiency

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Cryptography Neural Networks Python C++ Qiskit Cirq Research Leadership

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