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Information Technology 🏒 Full Time ⭐️ Verified

Future Tech Lead: AI & Quantum Integration

Nexus 2026
New York
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to build the technology of tomorrow, today? Nexus 2026 is seeking a visionary Future Tech Lead to pioneer the convergence of Artificial Intelligence and Quantum Computing. You will be at the forefront of innovation, architecting systems that redefine the boundaries of what is possible in the digital landscape.

In this role, you will bridge the gap between theoretical quantum physics and practical AI applications, leading a high-performing team of engineers dedicated to solving the world's most complex computational problems.

Responsibilities

  • Lead R&D: Spearhead the research and development of next-generation AI algorithms designed to run on emerging quantum hardware architectures.
  • System Architecture: Design scalable, fault-tolerant systems that integrate quantum computing modules with existing cloud infrastructure.
  • Team Leadership: Mentor a diverse team of elite software engineers, data scientists, and quantum physicists, fostering a culture of innovation and excellence.
  • Strategic Planning: Define the technical roadmap for future tech initiatives, aligning them with business goals and industry trends.
  • Prototyping: Build rapid prototypes to validate complex quantum-ai concepts before full-scale deployment.
  • Collaboration: Work closely with cross-functional stakeholders to translate abstract scientific concepts into market-ready products.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Information Science.
  • Experience: 5+ years of professional experience in software engineering, with at least 2 years focused on AI/ML or Quantum Computing.
  • Programming: Expert proficiency in Python, C++, and Rust, with deep understanding of quantum programming frameworks (e.g., Qiskit, Cirq, PennyLane).
  • Technical Skills: Strong background in machine learning, neural networks, and high-performance computing clusters.
  • Leadership: Proven track record of leading technical teams and managing complex project lifecycles from conception to delivery.
  • Communication: Exceptional ability to communicate complex technical ideas to both technical and non-technical audiences.

Required Skills

Python Quantum Computing Machine Learning C++ Cloud Architecture Neural Networks System Design Leadership

Ready to Take This Challenge?

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