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Quantum AI Research Scientist

Nexus Quantum Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next generation of Quantum-AI hybrid systems. We're seeking a visionary Quantum AI Research Scientist to develop groundbreaking algorithms that will redefine computational boundaries by 2026. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin facility, working on projects that could revolutionize drug discovery, climate modeling, and autonomous systems.

What you'll experience:

  • Unparalleled R&D resources with access to quantum annealing supercomputers
  • Collaborative environment with 24/7 innovation labs
  • Competitive equity packages and comprehensive wellness benefits

Responsibilities

  • Design and implement quantum algorithms for machine learning acceleration
  • Develop error-correction protocols for quantum neural networks
  • Lead cross-functional teams in prototyping quantum-AI hybrid models
  • Publish research in top-tier journals (Nature, Science, IEEE)
  • Secure federal and private grants for cutting-edge projects
  • Mentor PhD candidates in quantum computing methodologies
  • Translate theoretical models into scalable commercial applications

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 5+ years in quantum algorithm development or quantum machine learning
  • Proficiency with Qiskit, Cirq, or similar quantum programming frameworks
  • Published research in quantum-AI integration or error mitigation
  • Experience with high-performance computing clusters (HPC)
  • Demonstrated ability to secure research funding ($1M+)
  • Expertise in at least one classical ML framework (PyTorch/TensorFlow)
  • Strong background in linear algebra and quantum mechanics

Required Skills

Quantum Computing Machine Learning Algorithm Development Qiskit Cirq Python Linear Algebra Research Methodology High-Performance Computing

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