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Quantum AI Architect | FutureScale | San Francisco

FutureScale Technologies
San Francisco
Estimated Salary
USD 200.000 – USD 350.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are building the technology stack for the year 2026. FutureScale Technologies is seeking a visionary Quantum AI Architect to pioneer the next generation of computational intelligence. If you are passionate about bridging the gap between quantum mechanics and artificial intelligence, this is your opportunity to define the future.


As a key member of our R&D division, you will not just write code; you will architect the algorithms that will power the autonomous systems of tomorrow. Join a team of elite engineers, physicists, and data scientists dedicated to solving humanity's most complex challenges through advanced computation.

Responsibilities

  • Architect Quantum Algorithms: Design and implement scalable quantum machine learning models capable of processing petabyte-scale datasets.
  • Lead R&D Initiatives: Spearhead research into quantum supremacy and hybrid quantum-classical computing architectures.
  • System Integration: Oversee the integration of quantum processors with cloud infrastructure (AWS, Azure, GCP) to ensure seamless data flow.
  • Collaboration & Mentorship: Guide a team of junior quantum engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Performance Optimization: Continuously optimize algorithmic efficiency and reduce error rates in quantum circuitry.
  • Strategic Planning: Translate business requirements into technical quantum roadmaps aligned with the 2026 vision.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Computing.
  • Experience: 5+ years of experience in software engineering, with at least 2 years specifically in quantum computing or quantum machine learning.
  • Technical Skills: Proficiency in quantum programming frameworks such as Qiskit, Cirq, or PennyLane.
  • Machine Learning: Deep understanding of classical machine learning algorithms and their quantum counterparts.
  • Programming: Expert-level proficiency in Python, C++, and CUDA.
  • Problem Solving: Exceptional ability to solve complex theoretical and practical problems in high-dimensional spaces.

Required Skills

Quantum Computing Machine Learning Python C++ Qiskit Cirq Artificial Intelligence Cloud Infrastructure Algorithm Design

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