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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Integration Engineer

Nebula Future Tech
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Mei 2026
Deadline
30 Mei 2027

Job Description

Are you ready to shape the technological landscape of 2026? Nebula Future Tech is seeking a visionary Senior AI & Quantum Integration Engineer to join our elite R&D division in San Francisco. We are building the next generation of cognitive computing systems that bridge the gap between classical artificial intelligence and quantum mechanics.

In this role, you will be at the forefront of innovation, architecting software that prepares our infrastructure for the quantum era. You will work directly with C-level leadership to define our 2026 roadmap, ensuring our products remain cutting-edge in a rapidly evolving market.

Why You'll Love It Here

  • Future-Ready Impact: Build technology that will be industry-defining for years to come.
  • Top-Tier Compensation: Competitive salary, performance bonuses, and equity packages.
  • Modern Culture: A dynamic, remote-inclusive work environment with a focus on continuous learning.

Responsibilities

  • Architect and deploy hybrid quantum-classical machine learning models.
  • Optimize neural networks to run efficiently on next-generation quantum hardware.
  • Lead code reviews and technical strategy for the quantum integration team.
  • Develop robust error correction protocols for quantum data processing.
  • Collaborate with hardware engineers to translate theoretical physics into practical software libraries.
  • Present complex technical concepts to non-technical stakeholders and executive leadership.

Qualifications

  • Master’s or PhD in Computer Science, Physics, or Mathematics with a focus on Quantum Computing.
  • 5+ years of professional software engineering experience in high-scale systems.
  • Expert proficiency in Python, C++, and relevant quantum frameworks (Qiskit, Cirq, or PyQuil).
  • Deep understanding of linear algebra, probability, and stochastic processes.
  • Experience with cloud platforms (AWS, GCP) and containerization technologies (Docker, Kubernetes).

Required Skills

Quantum Computing Python Machine Learning Qiskit C++ Neural Networks Algorithms Cloud Computing

Ready to Take This Challenge?

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