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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Architect

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer the fusion of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Architect to design next-gen systems that will redefine computational boundaries. This role offers unparalleled opportunity to shape the future of machine learning, cryptography, and data processing in a dynamic, startup-scale environment with enterprise-level resources.

You'll lead the development of hybrid quantum-classical frameworks, optimize algorithms for quantum advantage, and collaborate with Nobel-caliber researchers to solve humanity's most complex challenges. Our culture thrives on bold innovation, rapid prototyping, and ethical tech advancement.

Responsibilities

  • Design and implement scalable quantum AI algorithms leveraging QML, variational circuits, and quantum neural networks
  • Develop hybrid quantum-classical architectures for real-world applications in drug discovery, climate modeling, and materials science
  • Optimize quantum error correction protocols to achieve fault-tolerant computation by 2026
  • Lead cross-functional teams of physicists, ML engineers, and domain experts
  • Translate quantum advantage proofs into production-ready enterprise solutions
  • Pioneer quantum-safe cryptographic protocols for next-gen cybersecurity
  • Author thought leadership publications on quantum AI convergence

Qualifications

  • PhD or equivalent in Quantum Computing, Computer Science, or Physics with 5+ years industry experience
  • Expertise in quantum programming frameworks (Qiskit, Cirq, PennyLane) and high-performance computing
  • Published research in quantum machine learning or quantum information theory
  • Proficiency in Python, TensorFlow/PyTorch, and low-level quantum assembly languages
  • Experience with cloud quantum platforms (IBM Quantum, Amazon Braket) and hybrid HPC systems
  • Demonstrated ability to lead technical teams through ambiguous innovation cycles
  • Deep understanding of quantum error correction and fault-tolerance thresholds

Required Skills

Quantum Computing Machine Learning Cryptography High-Performance Computing Python TensorFlow Qiskit Cirq Cloud Platforms Team Leadership

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