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Quantum AI Lead Engineer (2026 Vision)

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

Job Description

Are you ready to build the impossible?

Nexus Future Systems is seeking a visionary Quantum AI Lead Engineer to spearhead our 2026 roadmap. In this pivotal role, you will bridge the gap between classical artificial intelligence and quantum computing to solve problems deemed unsolvable today.

We are looking for a pioneer who is obsessed with the intersection of quantum mechanics and machine learning. If you are driven by the challenge of defining the technological landscape of 2026, this is your opportunity to lead the charge.

Why Join Us?

  • Work on cutting-edge technology that will define the next decade.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with a San Francisco HQ.

Responsibilities

  • Architect Quantum Algorithms: Design and implement scalable quantum algorithms tailored for AI inference and optimization tasks.
  • Lead Technical Vision: Define the technical roadmap for the 2026 product suite, ensuring alignment with business goals.
  • Team Leadership: Mentor a high-performance team of quantum physicists and software engineers.
  • R&D Strategy: Conduct in-depth research into current quantum hardware limitations and software frameworks.
  • Collaboration: Partner with data scientists and hardware engineers to optimize model performance on quantum processors.
  • Patent Strategy: Lead the creation and filing of intellectual property related to quantum AI advancements.

Qualifications

  • Education: PhD or Master's degree in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Computing.
  • Experience: Minimum 5+ years of experience in software engineering, with at least 2 years in quantum computing or advanced AI research.
  • Technical Skills: Proficiency in Python, C++, and quantum computing frameworks such as Qiskit, Cirq, or PyQuil.
  • Leadership: Demonstrated experience leading technical teams and managing complex R&D projects.
  • Problem Solving: Ability to translate abstract mathematical concepts into practical, scalable software solutions.
  • Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Python C++ Qiskit Cirq Cloud Computing Leadership R&D

Ready to Take This Challenge?

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