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Senior Quantum AI Architect (2026 Vision)

Nexus Future Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Are you ready to define the computing landscape of 2026? Nexus Future Technologies is seeking a visionary Senior Quantum AI Architect to lead our groundbreaking research and development initiatives.

In this role, you will bridge the gap between classical artificial intelligence and emerging quantum computing paradigms. You will be responsible for designing scalable quantum algorithms, optimizing hybrid classical-quantum systems, and implementing next-generation neural network architectures that leverage qubit coherence and superposition.

Join us in building the infrastructure that will power the future of enterprise data processing, cryptography, and autonomous decision-making systems.

Responsibilities

  • Architect and implement advanced quantum algorithms tailored for complex AI model training and inference.
  • Design and optimize hybrid classical-quantum software stacks to maximize hardware utilization.
  • Collaborate with cross-functional teams of physicists, data scientists, and hardware engineers to push the boundaries of error correction and noise mitigation.
  • Lead code reviews and establish best practices for quantum software development within the engineering organization.
  • Stay at the forefront of quantum computing research, evaluating new hardware architectures and integrating them into our pipeline.
  • Mentor junior engineers and researchers, fostering a culture of innovation and technical excellence.

Qualifications

  • Master’s or PhD degree in Computer Science, Physics, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in software engineering, with a focus on high-performance computing or machine learning.
  • Deep proficiency in Python and experience with quantum computing frameworks such as Qiskit, Cirq, or PennyLane.
  • Strong understanding of linear algebra, probability theory, and quantum mechanics fundamentals.
  • Experience with cloud computing platforms (AWS, Google Cloud, Azure) for deploying quantum workloads.
  • Proven track record of leading complex technical projects from conception to deployment.

Required Skills

Quantum Computing Python Qiskit Cirq Machine Learning Artificial Intelligence High-Performance Computing AWS Cloud Architecture

Ready to Take This Challenge?

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