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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Researcher

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI systems that will redefine 2026 and beyond. We seek a visionary Quantum AI Researcher to architect next-gen computational frameworks that merge quantum mechanics with artificial intelligence. This role offers unparalleled opportunity to shape the digital landscape while working in Austin's thriving innovation ecosystem. You'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges.

Responsibilities

  • Design and implement quantum machine learning algorithms for 2026-era applications
  • Lead cross-functional teams in developing hybrid quantum-classical computing architectures
  • Publish groundbreaking research in top-tier journals and conferences
  • Secure federal grants and industry partnerships for quantum-AI initiatives
  • Mentor junior researchers while establishing lab protocols for quantum-AI integration
  • Identify emerging quantum threats and develop defensive AI countermeasures
  • Translate theoretical models into scalable commercial quantum solutions

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum computing experience with Qiskit/Cirq frameworks
  • Published research in quantum machine learning or quantum algorithms
  • Expertise in high-performance computing and distributed quantum systems
  • Proven track record of securing research funding ($500K+)
  • Strong background in AI/ML with TensorFlow/PyTorch proficiency
  • Ability to communicate complex quantum concepts to diverse stakeholders
  • Passion for ethical AI development and quantum democratization

Required Skills

Quantum Computing Machine Learning Qiskit Cirq TensorFlow High-Performance Computing Research Methodology AI Ethics Algorithm Design

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