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Senior Quantum AI Architect - 2026 Roadmap - San Francisco, CA

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

Job Description

Are you ready to architect the future of intelligence for the year 2026 and beyond? Nebula Nexus Innovations is seeking a visionary Senior Quantum AI Architect to lead our research and development division. You will be at the forefront of merging classical machine learning with next-generation quantum computing paradigms.

We are building the infrastructure that will power autonomous systems, predictive analytics, and generative models in a post-silicon era. If you are passionate about pushing the boundaries of what is possible and want to define the standard for 2026, we want to hear from you.

Responsibilities

  • Lead the 2026 Roadmap: Define and execute the technical vision for integrating quantum algorithms into scalable AI frameworks.
  • Architecture Design: Design hybrid quantum-classical systems capable of solving complex optimization problems in real-time.
  • R&D Leadership: Mentor a team of brilliant engineers and researchers, fostering a culture of innovation and scientific rigor.
  • System Optimization: Continuously refine computational efficiency and error correction protocols for quantum processors.
  • Strategic Partnerships: Collaborate with academic institutions and hardware vendors to leverage cutting-edge quantum hardware.
  • Prototyping: Build rapid prototypes to validate theoretical models before full-scale implementation.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Computing or AI.
  • Experience: Minimum of 8 years of experience in software engineering, machine learning, or AI, with at least 3 years specifically in quantum computing or high-performance computing.
  • Technical Skills: Proficiency in Python, C++, Qiskit, Cirq, or similar quantum programming frameworks. Deep understanding of classical ML libraries (TensorFlow, PyTorch).
  • Problem Solving: Exceptional ability to solve complex, unstructured problems and translate theoretical concepts into practical solutions.
  • Leadership: Proven track record of leading technical teams and managing cross-functional projects.
  • Communication: Ability to articulate complex technical concepts to non-technical stakeholders and investors.

Required Skills

Quantum Computing AI Machine Learning Python C++ TensorFlow PyTorch System Architecture Leadership

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