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Information Technology 🏒 Full Time ⭐️ Verified

Quantum AI Lead Engineer - 2026 Visionary Tech

NexaCore Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are building the infrastructure for the future. As we approach the technological paradigm shift of 2026, NexaCore Systems is seeking a visionary Quantum AI Lead Engineer to pioneer the next generation of computational intelligence. If you are passionate about breaking the barriers of classical computing and shaping the quantum era, we want to hear from you.


In this role, you will lead a high-impact team of researchers and engineers to develop scalable quantum algorithms and integrate them into production-grade AI systems. You will be responsible for defining the architectural roadmap that bridges the gap between theoretical quantum mechanics and practical machine learning applications.


Join us in defining the standard for advanced technology in 2026 and beyond.

Responsibilities

  • Lead the design and implementation of hybrid quantum-classical algorithms for complex optimization and machine learning tasks.
  • Architect scalable quantum computing infrastructure on cloud platforms (AWS Braket, Azure Quantum, Google Cirq).
  • Mentor and mentor a team of talented data scientists and quantum researchers.
  • Translate theoretical research papers into production-ready software pipelines.
  • Collaborate with cross-functional teams to integrate quantum solutions into broader enterprise applications.
  • Define technical strategies for quantum error mitigation and noise reduction.
  • Conduct rigorous code reviews and establish best practices for quantum software engineering.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Computing or AI.
  • Minimum of 5+ years of experience in software engineering, with at least 2 years specifically in quantum computing or advanced AI.
  • Proficiency in Python (NumPy, SciPy, PyTorch) and C++.
  • Experience with quantum programming frameworks such as Qiskit, Cirq, or PennyLane.
  • Strong understanding of linear algebra, probability theory, and statistical mechanics.
  • Demonstrated ability to lead technical teams and drive project execution from concept to deployment.
  • Excellent communication skills with the ability to explain complex technical concepts to diverse stakeholders.

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Python C++ System Architecture Quantum Algorithms Cloud Computing Leadership

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