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Quantum AI Research Lead

Nexus Quantum Labs
Austin
Estimated Salary
USD 220.000 – USD 300.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Research Lead to pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. Shape the future of computational intelligence while working with world-class experts in our state-of-the-art Austin facility. This role offers unparalleled opportunities to publish groundbreaking research and develop scalable quantum-AI systems that will redefine industry standards.

Responsibilities

  • Design and implement quantum-AI hybrid architectures for next-generation problem-solving
  • Lead cross-functional teams in developing quantum machine learning algorithms
  • Conduct cutting-edge research on quantum neural networks and optimization techniques
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Develop scalable frameworks for quantum data processing and analysis
  • Present research findings at premier international conferences and symposia
  • Secure research funding through federal and private grants
  • Mentor junior researchers in quantum computing best practices

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
  • Proven expertise in quantum algorithms and quantum machine learning frameworks
  • Strong publication record in top-tier journals (Nature, Science, etc.)
  • Proficiency with quantum programming languages (Qiskit, Cirq, Q#)
  • Experience with high-performance computing environments and parallel processing
  • Deep understanding of quantum error correction and fault tolerance
  • Track record of securing research grants exceeding $500K
  • Exceptional communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Machine Learning Qiskit Cirq Q# Research Leadership Quantum Algorithms High-Performance Computing AI Optimization

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