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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Engineer - 2026 Vision

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

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we pioneer quantum-AI integration for 2026. We seek visionary engineers to develop next-generation systems that will redefine computational boundaries. Our collaborative environment combines cutting-edge research with real-world impact, offering unparalleled opportunities to shape the future of artificial intelligence.

As part of our elite Quantum AI division, you'll work with Nobel Prize-winning researchers and deploy solutions across healthcare, logistics, and climate modeling. We provide competitive equity, flexible work arrangements, and a $10,000 annual innovation budget for personal projects.

Responsibilities

  • Design and implement quantum algorithms for machine learning acceleration
  • Develop hybrid quantum-classical neural networks for 2026 applications
  • Lead cross-functional teams in deploying AI solutions at scale
  • Research and mitigate quantum security vulnerabilities in AI systems
  • Create patent-pending methodologies for quantum data processing
  • Collaborate with academic institutions on breakthrough publications
  • Mentor junior engineers in emerging quantum-AI paradigms

Qualifications

  • PhD in Computer Science/Quantum Physics or equivalent experience
  • 5+ years in AI/ML with published research in top-tier journals
  • Proficiency in quantum programming languages (Q#, Qiskit)
  • Expertise in TensorFlow/PyTorch and quantum circuit design
  • Track record of deploying production-level quantum systems
  • Strong background in cryptography and quantum-resistant algorithms
  • Experience with AWS Braket or equivalent quantum cloud platforms
  • Demonstrated ability to secure $1M+ in research funding

Required Skills

Quantum Computing Machine Learning TensorFlow PyTorch Q# Qiskit Cryptography AWS Braket Neural Networks

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