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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI & Quantum Integration Engineer

FutureCore Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are building the operating system for the year 2026 and beyond. FutureCore Dynamics is seeking a visionary Lead AI & Quantum Integration Engineer to design and deploy next-generation adaptive systems.

In this role, you will bridge the gap between classical computing and emerging quantum architectures, ensuring scalable, secure, and ethical AI solutions that define the future of enterprise. If you are passionate about the intersection of artificial intelligence, quantum mechanics, and sustainable infrastructure, we want to meet you.

Why Join Us?

  • Future-Proof Impact: Work on the foundational technologies that will power industries through 2026 and beyond.
  • Elite Team: Collaborate with world-class engineers, physicists, and strategists.
  • Competitive Compensation: Comprehensive benefits package including health, equity, and remote flexibility.

Responsibilities

  • Architect and implement hybrid quantum-classical algorithms for high-velocity data processing and predictive analytics.
  • Lead the integration of advanced machine learning models into core infrastructure with zero-latency requirements.
  • Establish and enforce ethical AI frameworks and compliance standards for autonomous decision-making systems.
  • Collaborate with cross-functional teams to define the technical roadmap for 2026 innovations.
  • Mentor senior engineers and foster a culture of continuous learning and forward-thinking problem solving.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, Applied Mathematics, or a related field.
  • 10+ years of experience in full-stack software engineering and cloud architecture (AWS, GCP, or Azure).
  • Deep expertise in machine learning frameworks (TensorFlow, PyTorch) and large language models (LLMs).
  • Experience with quantum computing simulation tools (Qiskit, Cirq) and edge device optimization.
  • Proven track record of leading engineering teams in high-stakes environments and delivering complex systems.

Required Skills

AI Quantum Computing Machine Learning System Architecture Edge Computing Cloud Infrastructure Python TensorFlow Ethics Quantum Simulation Predictive Analytics

Ready to Take This Challenge?

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