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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Architect

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

We are on the cusp of a new era in computing, and Nexus Future Labs is seeking a visionary Senior AI & Quantum Architect to lead our research and development initiatives. As we look toward the technological landscape of 2026 and beyond, you will be responsible for designing hybrid systems that seamlessly integrate classical artificial intelligence with emerging quantum computing paradigms.

In this pivotal role, you will define the architectural standards for our next-generation algorithms, ensuring scalability, security, and efficiency. If you are a forward-thinker who thrives on solving the world's most complex computational problems, we want to hear from you.

Responsibilities

  • Design and implement hybrid quantum-classical algorithms for optimization, simulation, and machine learning tasks.
  • Lead the architectural roadmap for integrating quantum hardware into existing AI infrastructures.
  • Collaborate with cross-functional teams of physicists, data scientists, and software engineers to translate theoretical research into production-ready solutions.
  • Conduct rigorous performance testing and benchmarking of quantum circuits against classical counterparts.
  • Mentor junior engineers and researchers, fostering a culture of innovation and continuous learning.
  • Stay at the forefront of industry trends in quantum computing, AI, and distributed systems.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on quantum information or AI.
  • Minimum of 5 years of experience in software engineering, with specific experience in machine learning or high-performance computing.
  • Proficiency in Python, C++, and experience with quantum computing frameworks such as Qiskit, Cirq, or PennyLane.
  • Deep understanding of linear algebra, probability theory, and quantum mechanics fundamentals.
  • Strong problem-solving skills and the ability to work in a fast-paced, experimental environment.
  • Excellent communication skills with the ability to explain complex technical concepts to diverse stakeholders.

Required Skills

Python C++ Quantum Computing Machine Learning TensorFlow PyTorch Qiskit Cirq Distributed Systems Algorithm Design Data Science

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