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

OmniStream Solutions
San Francisco
Estimated Salary
USD 220.000 – USD 320.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to architect the future? Join OmniStream Solutions as our next Future Tech Lead. We are not just building software; we are engineering the technological reality of the 2026 era. In this pivotal role, you will bridge the gap between emerging quantum computing paradigms and advanced artificial intelligence to solve problems that were previously deemed impossible.


As a key driver of our 2026 Roadmap, you will lead a world-class team of engineers and researchers. We are looking for a visionary who isn't satisfied with incremental improvements but seeks to redefine the boundaries of what is possible.


Why This Role?

  • Work on cutting-edge Quantum-AI Hybrid Systems.
  • Shape the strategic direction of our technology stack for the year 2026.
  • Competitive salary and equity package in the heart of San Francisco.

Responsibilities

  • Lead the R&D strategy for Quantum-Classical Synergy technologies aimed at the 2026 market.
  • Design and implement scalable architectures for high-performance computing and neural networks.
  • Define the technical milestones and deliverables for the company's 2026 product launch.
  • Mentor and coach senior engineers to foster a culture of innovation and technical excellence.
  • Collaborate with cross-functional teams to translate complex scientific concepts into deployable software.

Qualifications

  • Master’s or PhD in Computer Science, Physics, Applied Mathematics, or a related technical field.
  • Minimum of 5 years of experience in software engineering, systems architecture, or machine learning.
  • Deep understanding of classical AI algorithms and their computational requirements.
  • Experience with quantum computing frameworks (e.g., Qiskit, Cirq) or equivalent simulation environments.
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, high-stakes environment.

Required Skills

Quantum Computing Artificial Intelligence Machine Learning System Architecture Python C++ Cloud Computing R&D Strategy

Ready to Take This Challenge?

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

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