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2026 Quantum AI Research Lead

Nexus Dynamics Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Dynamics Inc. at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Research Lead to pioneer next-generation solutions that will redefine industries. This role offers unparalleled opportunities to shape the future of computing while collaborating with Nobel laureates and industry pioneers in our state-of-the-art San Francisco lab.

What You'll Accomplish:

You'll architect quantum algorithms that solve previously impossible computational challenges, lead a multidisciplinary team of physicists and engineers, and publish groundbreaking research in top-tier journals. Your work will directly impact our 2026 product roadmap, which includes developing quantum-resistant cybersecurity frameworks and AI systems with human-like reasoning capabilities.

Responsibilities

  • Design and implement quantum algorithms for AI optimization and machine learning acceleration
  • Lead a cross-functional team of 12+ researchers in quantum computing and artificial intelligence
  • Develop quantum-resistant cryptographic protocols for 2026-era security infrastructure
  • Collaborate with product teams to translate research into commercial applications
  • Secure $5M+ in research grants and publish 4+ peer-reviewed papers annually
  • Mentor PhD candidates and establish industry partnerships with quantum hardware pioneers

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 5+ years of industry experience
  • Proven track record of publishing in Nature/Science or top-tier quantum computing conferences
  • Expertise in quantum machine learning algorithms and error correction techniques
  • Proficiency with quantum programming languages (Q#, Qiskit, Cirq) and high-performance computing
  • Experience leading research teams with $1M+ budgets and managing academic-industry collaborations
  • Demonstrated ability to translate theoretical research into practical applications
  • Strong background in AI/ML frameworks (PyTorch, TensorFlow) at scale

Required Skills

Quantum Computing Machine Learning AI Research Cryptography High-Performance Computing Qiskit Q# Scientific Leadership

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