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2026 Quantum AI Research Lead

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join the vanguard of technological evolution at Nexus Future Labs. We're seeking a visionary 2026 Quantum AI Research Lead to architect the next generation of intelligent systems that will redefine human-machine collaboration. This pioneering role combines quantum computing principles with advanced neural networks to solve previously unsolvable challenges in climate modeling, drug discovery, and autonomous systems.

As a cornerstone of our Quantum AI division, you'll lead a multidisciplinary team of physicists, computer scientists, and domain experts to develop proprietary algorithms that leverage quantum entanglement for exponential computational acceleration. Your work will directly contribute to breakthroughs that will shape humanity's trajectory toward 2026 and beyond.

We offer unparalleled resources including access to our 512-qubit quantum annealing cluster, dedicated GPU clusters, and a collaborative environment where your ideas become reality. If you're passionate about building the future and possess the expertise to make it happen, we invite you to join us.

Responsibilities

  • Architect and implement quantum machine learning frameworks for next-gen AI systems
  • Lead cross-functional teams in developing quantum-optimized neural networks
  • Drive innovation in quantum error correction and coherence enhancement techniques
  • Collaborate with academic institutions on quantum algorithm research
  • Translate complex quantum concepts into practical business applications
  • Present breakthrough findings at international conferences and publications
  • Secure intellectual property through patents and trade secrets

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
  • Expertise in quantum algorithms (QAOA, VQE, Grover's) and quantum machine learning
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in top-tier quantum computing or AI conferences
  • Experience leading technical teams of 10+ engineers/researchers
  • Deep understanding of quantum error correction and fault tolerance
  • Track record of commercializing quantum technologies

Required Skills

Quantum Computing Machine Learning Neural Networks Qiskit Q# Cirq Quantum Algorithms AI Research Team Leadership

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