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Quantum AI Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer quantum-AI convergence for 2026 and beyond. We seek a visionary Quantum AI Research Scientist to develop breakthrough algorithms that will redefine computational boundaries. Collaborate with Nobel laureates and industry pioneers in our Austin innovation hub, where cutting-edge research meets real-world impact. Your work will directly shape the future of autonomous systems, drug discovery, and climate modeling through quantum-enhanced machine learning paradigms.

Responsibilities

  • Design and implement quantum machine learning models for complex optimization problems
  • Lead cross-functional teams in developing hybrid quantum-classical AI frameworks
  • Publish breakthrough research in top-tier journals and conferences (Nature, NeurIPS, etc.)
  • Collaborate with hardware teams to co-design quantum algorithms for next-generation processors
  • Secure $5M+ in research grants from NSF, DARPA, and private foundations
  • Develop ethical frameworks for quantum-AI deployment in critical infrastructure
  • Advise government policy on quantum security standards for 2026 digital infrastructure

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Computational Physics with 5+ years industry experience
  • Proven track record of publishing in top-tier quantum/AI journals (h-index > 30)
  • Expertise in quantum circuit design and error correction protocols
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
  • Demonstrated success in securing government research funding
  • Experience with large-scale distributed computing environments (AWS Braket, Azure Quantum)
  • Strong background in theoretical computer science and algorithm complexity

Required Skills

Quantum Computing Machine Learning AI Research Algorithm Design Python C++ TensorFlow PyTorch Quantum Error Correction High-Performance Computing

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