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Senior AI & Quantum Architect | Building for 2026

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Shape the Future of Technology

Nexus Future Systems is pioneering the next generation of autonomous intelligence. We are seeking a visionary Senior AI & Quantum Architect to lead our research and development efforts aimed at the year 2026 and beyond. In this high-impact role, you will define the architectural blueprints for systems that merge generative AI with quantum computing to solve problems previously deemed impossible.

Our mission is to transition humanity into the post-silicon era. You will work at the intersection of biology, physics, and advanced software engineering. We offer a competitive compensation package, equity options, and the opportunity to work with world-class minds on projects that will define the digital landscape of the future.

Responsibilities

  • Design and implement scalable, fault-tolerant architectures for next-generation AI models and quantum algorithms.
  • Lead the research into predictive modeling and edge computing applications for 2026 infrastructure.
  • Collaborate with cross-functional teams to define product roadmaps and technical standards for future technologies.
  • Mentor junior engineers and data scientists, conducting rigorous code reviews and architectural discussions.
  • Optimize neural networks for real-time processing in decentralized environments.
  • Stay ahead of emerging technologies (e.g., neuromorphic computing) to ensure our solutions remain cutting-edge.
  • Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML and distributed systems.
  • Master’s or PhD in Computer Science, Physics, or a related STEM field.
  • Deep proficiency in Python, C++, Rust, and modern JavaScript/TypeScript.
  • Experience with quantum computing frameworks (e.g., Qiskit, Cirq, TensorFlow Quantum) is highly desirable.
  • Strong understanding of cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
  • Excellent communication skills with a proven track record of leading technical projects from conception to deployment.
  • Required Skills

    Artificial Intelligence Machine Learning Quantum Computing Python C++ Rust Cloud Architecture Edge Computing System Design Neural Networks

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