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Senior Quantum AI Architect (2026 Vision)

Nebula Horizon Labs
Austin
Estimated Salary
USD 185.000 – USD 260.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join the Architects of Tomorrow.

We are looking for a visionary Senior Quantum AI Architect to define the technological landscape for 2026 and beyond. At Nebula Horizon Labs, we aren't just building software; we are building the fabric of the future. You will lead the convergence of quantum computing and artificial intelligence, solving problems that were previously deemed impossible.

In this role, you will be the bridge between theoretical physics and practical machine learning, designing systems that are faster, smarter, and exponentially more powerful than anything existing today.

Responsibilities

  • Architect Quantum Algorithms: Design and implement proprietary quantum algorithms tailored for complex AI models and optimization problems.
  • Roadmap Leadership: Define the technical roadmap for the 2026 product suite, ensuring scalability and future-proofing.
  • Hybrid Systems Integration: Seamlessly integrate quantum processing units (QPUs) with classical cloud infrastructure to create hybrid AI environments.
  • Research & Development: Lead a high-performance research team to explore novel applications in cryptography, drug discovery, and logistics.
  • Strategic Consulting: Advise C-suite executives on the potential of quantum supremacy and ROI for quantum-adjacent initiatives.
  • Code Review & Mentorship: Maintain the highest standards of code quality and mentor junior engineers in quantum software development.

Qualifications

  • Education: PhD in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Computing.
  • Experience: Minimum 8+ years of experience in software engineering, with at least 3 years specifically in quantum computing or advanced AI research.
  • Technical Skills: Proficiency in Python, C++, Qiskit, Cirq, or similar quantum software development kits (SDKs).
  • AI Expertise: Deep understanding of classical machine learning frameworks (TensorFlow, PyTorch) and how they translate to quantum environments.
  • Problem Solving: Demonstrated ability to tackle abstract mathematical problems and translate them into robust code architectures.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Python C++ Machine Learning AI TensorFlow PyTorch Cloud Architecture Quantum Supremacy Research

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