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Information Technology 🏢 Full Time ⭐️ Verified

Future Tech Lead: AI & Quantum Integration

OmniFuture Systems
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to define the landscape of technology in 2026? OmniFuture Systems is seeking a visionary Future Tech Lead to architect the next generation of human-machine integration. We are not just building software; we are engineering the future.

In this pivotal role, you will bridge the gap between Generative AI, Quantum Computing, and Ethical Frameworks. You will be responsible for the strategic roadmap that positions our company at the forefront of the 2026 technological revolution. If you thrive in ambiguity and are passionate about solving humanity's hardest problems, we want to hear from you.

Why Join Us?

  • Impact: Work on projects that will define the decade.
  • Autonomy: Lead a team of elite engineers without micromanagement.
  • Equity: Competitive stock options in a high-growth startup.

Responsibilities

  • Strategic Roadmapping: Define and execute the technical vision for OmniFuture Systems, specifically targeting breakthroughs in 2026 AI capabilities and Quantum processing.
  • System Architecture: Design scalable, secure, and ethically aligned infrastructure that integrates Neural Networks with Quantum algorithms.
  • Team Leadership: Mentor a cross-functional squad of AI researchers, quantum engineers, and full-stack developers.
  • Stakeholder Management: Translate complex technical concepts for executive leadership and secure buy-in for high-risk, high-reward initiatives.
  • Compliance & Ethics: Establish guidelines for responsible AI usage, ensuring our systems align with global regulatory standards.

Qualifications

  • Experience: 10+ years of experience in software engineering, with at least 3 years in a leadership role (Engineering Manager or Principal Engineer).
  • Technical Mastery: Deep understanding of Machine Learning frameworks (PyTorch, TensorFlow), Large Language Models (LLMs), and basic Quantum Computing principles.
  • Education: Bachelor’s or Master’s degree in Computer Science, Physics, or a related STEM field.
  • Problem Solving: Proven track record of navigating ambiguity and delivering innovative solutions under tight deadlines.
  • Communication: Exceptional ability to articulate complex technical strategies to non-technical audiences.

Required Skills

Artificial Intelligence Quantum Computing System Architecture Machine Learning Leadership Python Cloud Computing Ethics Strategy

Ready to Take This Challenge?

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

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