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Research & Development 🏢 Full Time ⭐️ Verified

2026 Quantum AI Research Lead

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join Nexus Dynamics at the forefront of technological revolution as we pioneer the next generation of quantum-AI hybrid systems. As our 2026 Quantum AI Research Lead, you'll architect breakthrough solutions that redefine computational boundaries. We're seeking a visionary scientist to lead cross-disciplinary teams in developing fault-tolerant quantum algorithms and adaptive neural networks. This role offers unparalleled resources to explore uncharted territories in quantum supremacy and machine consciousness.

What You'll Achieve: Shape humanity's technological trajectory by solving previously impossible computational problems. Your work will directly impact fields from drug discovery to climate modeling, positioning Nexus Dynamics as the industry's innovation benchmark.

Responsibilities

  • Design and implement quantum-AI hybrid architectures for 2026-era applications
  • Lead a multidisciplinary team of quantum physicists, ML engineers, and domain experts
  • Develop fault-tolerant quantum algorithms leveraging next-gen error correction
  • Establish R&D roadmaps for quantum neural networks and emergent AI behaviors
  • Secure strategic partnerships with quantum hardware providers and academic institutions
  • Translate complex quantum-AI concepts into actionable business strategies

Qualifications

  • PhD in Quantum Computing, Machine Learning, or related computational field
  • 5+ years in quantum algorithm development or advanced AI research
  • Published work in Nature/Science or top-tier quantum computing conferences
  • Expertise in quantum machine learning frameworks (e.g., PennyLane, Qiskit)
  • Proven track record of leading high-impact technical projects
  • Deep understanding of quantum error correction and fault-tolerant systems

Required Skills

Quantum Computing Machine Learning Fault-Tolerant Algorithms Neural Networks Research Leadership Quantum-AI Hybrid Systems High-Performance Computing

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