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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Quantum Computing Architect

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

We are seeking a visionary Senior AI & Quantum Computing Architect to lead our R&D division. As we define the infrastructure for 2026, you will bridge the gap between theoretical quantum mechanics and practical, scalable AI applications. If you are passionate about the future of computing and want to build systems that transcend current limitations, Nexus Horizon Systems is your destination.

Why Join Us?
• Work at the forefront of post-silicon computing.
• Competitive salary and equity package.
• Flexible remote-first culture.

Responsibilities

  • Design and architect next-generation neural networks capable of processing quantum data streams.
  • Lead a cross-functional team of researchers and engineers in developing hybrid classical-quantum algorithms.
  • Define the technical roadmap for our 2026 product suite, ensuring scalability and security.
  • Collaborate with data scientists to optimize model performance on unconventional hardware architectures.
  • Mentor junior developers and establish best practices for emerging technology integration.
  • Publish white papers and contribute to open-source initiatives in the quantum AI community.

Qualifications

  • Ph.D. or Master's degree in Computer Science, Physics, or a related field with a focus on Quantum Information Science.
  • 10+ years of experience in software engineering, with at least 3 years specifically in AI/ML and high-performance computing.
  • Deep understanding of quantum computing frameworks (Qiskit, Cirq, or similar).
  • Proven track record of leading complex technical projects from concept to deployment.
  • Strong proficiency in Python, C++, and Rust.
  • Exceptional problem-solving skills and a forward-thinking mindset.

Required Skills

Artificial Intelligence Quantum Computing Machine Learning Python C++ High-Performance Computing Neural Networks R&D

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