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Information Technology 🏒 Full Time ⭐️ Verified

Senior Quantum-Ready AI Architect (Class of 2026)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

At Nexus Future Systems, we are not just building the future; we are defining the parameters of tomorrow. We are seeking a visionary Senior Quantum-Ready AI Architect to spearhead our roadmap for 2026. In this high-impact role, you will bridge the gap between cutting-edge quantum computing theory and scalable, ethical artificial intelligence deployment. You will be responsible for architecting systems that are resilient to the unique challenges of quantum decoherence while maximizing computational efficiency.

If you are passionate about the next generation of technology and want to leave a lasting legacy in the tech landscape, we want to meet you.

Responsibilities

  • Architect Future-Proof Systems: Design and lead the implementation of complex AI and machine learning architectures specifically tailored for quantum computing environments.
  • Research & Development: Conduct in-depth research into post-silicon computing paradigms and integrate emerging quantum algorithms into production pipelines.
  • Technical Leadership: Mentor a team of junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • System Optimization: Ensure high availability, scalability, and security of our neural network infrastructure as we approach the technological singularity.
  • Cross-Functional Collaboration: Work closely with product managers, quantum physicists, and security experts to define technical roadmaps and deliverables.
  • Ethical AI Compliance: Establish and enforce best practices for responsible AI development, ensuring alignment with global standards for 2026.

Qualifications

  • Education: Master’s or PhD in Computer Science, Quantum Physics, Artificial Intelligence, or a related STEM field.
  • Experience: Minimum 5-8 years of experience in full-stack software development with a focus on AI/ML.
  • Technical Skills: Proficiency in Python, C++, and TensorFlow/PyTorch. Hands-on experience with quantum computing frameworks (e.g., Qiskit, Cirq) is highly desirable.
  • System Design: Strong architectural skills in designing distributed systems and microservices.
  • Problem Solving: Demonstrated ability to solve complex, ambiguous problems with innovative technical solutions.
  • Communication: Excellent verbal and written communication skills, capable of translating complex technical concepts for diverse stakeholders.

Required Skills

Python Quantum Computing TensorFlow C++ System Design Machine Learning Distributed Systems Leadership

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