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Quantum AI Research Engineer

Nexus Dynamics
Austin
Estimated Salary
USD 190.000 – USD 280.000
New
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join Nexus Dynamics at the forefront of 2026's technological revolution. We're seeking visionary Quantum AI Research Engineers to pioneer next-generation computational systems that will redefine industries. Our Austin-based innovation lab offers unparalleled resources to transform theoretical breakthroughs into scalable solutions. Collaborate with Nobel laureates and industry pioneers in an environment where curiosity fuels progress.

Why Nexus Dynamics?

  • Cutting-edge quantum computing infrastructure
  • Patent-pending AI development frameworks
  • Competitive equity package in a pre-IPO unicorn
  • Flexible hybrid work model with dedicated R&D time

Responsibilities

  • Design and implement quantum machine learning algorithms for real-world applications
  • Develop hybrid quantum-classical computing architectures for 2026-scale data processing
  • Lead cross-functional teams to prototype AI solutions with quantum acceleration
  • Publish research in top-tier journals and conferences
  • Translate theoretical models into production-ready systems
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Identify emerging quantum threats and develop defensive AI protocols

Qualifications

  • PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
  • Expertise in quantum programming languages (Qiskit, Cirq, or PennyLane)
  • Proven track record of publishing in Nature/Science/IEEE journals
  • Mastery of Python, TensorFlow, and PyTorch frameworks
  • Experience with cloud quantum platforms (AWS Braket, Azure Quantum)
  • Strong background in algorithm complexity analysis
  • Portfolio demonstrating 3+ quantum AI implementations
  • Ability to communicate complex concepts to diverse stakeholders

Required Skills

Quantum Computing Machine Learning Python TensorFlow PyTorch Qiskit Cirq AWS Braket Algorithm Design Research

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