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Future Tech Lead: AI & Quantum Integration (2026 Horizon)

OmniFuture Solutions
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 shape the technology landscape of 2026? We are seeking a visionary Future Tech Lead to spearhead our initiatives in Advanced Artificial Intelligence and Quantum Computing. In this role, you will bridge the gap between theoretical research and practical application, ensuring our products remain at the cutting edge of the industry.

As we look toward the future, we need a leader who can navigate ambiguity and drive innovation. You will be responsible for defining the technical roadmap for our next-generation systems, working alongside world-class engineers and researchers to build the technologies that will define the coming decade.

Responsibilities

  • Architect Next-Gen Systems: Design and implement scalable architectures for AI models and quantum processing units tailored for the 2026 era.
  • Trend Forecasting: Identify emerging technologies (e.g., AGI, Neuromorphic Computing) relevant to the 2026 timeline and evaluate their feasibility for production.
  • R&D Leadership: Oversee a team of researchers and engineers, fostering a culture of experimentation, rapid prototyping, and technical excellence.
  • Cross-Functional Collaboration: Partner with product management and design teams to translate complex technical concepts into user-centric solutions.
  • Technical Strategy: Define the long-term vision for our technology stack, ensuring alignment with business goals and future market demands.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Physics, or a related field with a strong focus on AI or Quantum Computing.
  • Experience: 5+ years of experience in software engineering, machine learning, or systems architecture with a focus on innovation.
  • Technical Skills: Proficiency in Python, C++, and frameworks such as TensorFlow or PyTorch.
  • Quantum Knowledge: Familiarity with quantum algorithms (Qiskit, Cirq) or neuromorphic hardware is highly preferred.
  • Leadership: Proven track record of leading high-performance engineering teams and managing complex R&D projects.

Required Skills

Python Machine Learning Quantum Computing C++ System Architecture AI Strategy TensorFlow Research Leadership Agile Methodologies

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