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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI & Quantum Architect

FutureScale Technologies
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Shape the Future of Intelligence.

FutureScale Technologies is at the forefront of the post-silicon era. We are building the foundational neural architectures for autonomous agents in 2026 and beyond. We are seeking a visionary Lead AI & Quantum Architect to lead our research division in San Francisco.

In this role, you will bridge the gap between classical machine learning and next-gen quantum computing paradigms. You will define the computational strategies that power our predictive ecosystems. If you are obsessed with pushing the boundaries of what is possible with code and hardware, we want to meet you.

Why Join Us?

  • Work on mission-critical systems that redefine industry standards.
  • Competitive equity package and top-tier benefits.
  • Flexible remote-first culture with a premium office in SF.

Responsibilities

  • Architect Neural Systems: Design and implement scalable deep learning architectures integrating quantum computing elements for enhanced processing speed.
  • Research Leadership: Spearhead research initiatives into emergent AI behaviors, specifically focusing on AGI (Artificial General Intelligence) trajectories.
  • System Optimization: Optimize algorithms for latency reduction and efficiency, ensuring our systems run on next-gen hardware.
  • Technical Mentorship: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Stakeholder Communication: Translate complex technical concepts into actionable insights for executive leadership and product teams.
  • Prototyping: Rapidly prototype and validate new AI models using Python and specialized quantum libraries.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related field with a focus on AI/Quantum.
  • Experience: 8+ years of experience in software engineering, with at least 3 years in a Lead or Architect role.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and familiarity with quantum computing frameworks (Qiskit, Cirq).
  • Problem Solving: Proven track record of solving complex, open-ended technical challenges in distributed systems.
  • Communication: Exceptional written and verbal communication skills; ability to present to diverse audiences.
  • Innovation: A strong passion for emerging technologies and a portfolio demonstrating forward-thinking projects.

Required Skills

Python TensorFlow PyTorch Quantum Computing Machine Learning System Architecture NLP Distributed Systems

Ready to Take This Challenge?

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

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