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Information Technology 🏒 Full Time ⭐️ Verified

2026 Future Tech Lead - AI & Quantum

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are pioneering the technological landscape for the year 2026. Nexus Future Labs is seeking a visionary Future Tech Lead to architect the next generation of intelligent systems. In this pivotal role, you will bridge the gap between advanced Artificial Intelligence and emerging Quantum Computing technologies. You will define the technical roadmap that will define our product capabilities through the 2026 cycle and beyond.

If you are passionate about solving complex problems at the intersection of AI and hardware, and want to build systems that don't just exist, but evolve, we want to hear from you.

Responsibilities

  • Architect and lead the development of scalable AI and Quantum algorithms targeting 2026 infrastructure standards.
  • Collaborate with cross-functional teams to integrate AI models into core product workflows.
  • Oversee the optimization of neural networks for next-generation hardware architectures.
  • Mentor junior engineers and foster a culture of innovation and technical excellence.
  • Conduct rigorous code reviews and ensure system scalability and security.
  • Define technical roadmaps and make critical architectural decisions for the 2026 product suite.

Qualifications

  • Master’s degree in Computer Science, Physics, or a related STEM field (PhD preferred).
  • 5+ years of professional experience in AI/ML engineering and software architecture.
  • Deep expertise in Python, C++, and frameworks such as TensorFlow or PyTorch.
  • Experience with quantum computing libraries (e.g., Qiskit, Cirq) or a strong willingness to learn.
  • Proven track record of leading engineering teams and delivering complex projects on time.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/Azure), and data privacy.

Required Skills

Python C++ Quantum Computing Machine Learning Distributed Systems System Architecture Leadership

Ready to Take This Challenge?

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