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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI & Quantum Computing Lead

FutureTech Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to architect the future of intelligence? FutureTech Dynamics is seeking a visionary 2026 AI & Quantum Computing Lead to spearhead our next-generation research division. In this pivotal role, you won't just build software; you will define the paradigms of computation for the next decade.

We are looking for a thought leader who thrives at the intersection of quantum mechanics and artificial intelligence. If you are passionate about solving unsolvable problems and have a knack for leading high-performance engineering teams, this is your stage.

Why Join Us?

  • Work with state-of-the-art quantum hardware and neural networks.
  • Competitive equity package and performance bonuses.
  • Flexible remote-first culture with a premium office in the heart of the Bay Area.

Don't just predict the future—help us build it.

Responsibilities

  • Strategic Leadership: Define the technical roadmap and architectural vision for 2026 and beyond, bridging the gap between quantum theory and practical AI application.
  • Team Management: Recruit, mentor, and inspire a world-class team of AI engineers, quantum physicists, and data scientists.
  • System Design: Design scalable, fault-tolerant systems that leverage hybrid quantum-classical architectures.
  • Innovation: Drive research initiatives to optimize algorithms for quantum processors and edge devices.
  • Stakeholder Communication: Translate complex technical concepts into actionable insights for executive stakeholders and investors.

Qualifications

  • Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Information Science.
  • Experience: 8+ years of software engineering experience, with at least 3 years in a leadership capacity or architecting large-scale machine learning systems.
  • Technical Skills: Deep proficiency in Python, TensorFlow, PyTorch, and C++. Hands-on experience with quantum computing SDKs (e.g., Qiskit, Cirq) is highly preferred.
  • Problem Solving: Proven ability to tackle complex, ambiguous problems and deliver innovative solutions under tight deadlines.
  • Soft Skills: Exceptional communication skills and the ability to collaborate effectively across diverse, cross-functional teams.

Required Skills

Python Machine Learning Quantum Computing System Architecture TensorFlow Leadership Python Quantum Algorithms

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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