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Senior AI & Quantum Architect (2026 Roadmap)

FutureScale Technologies
San Francisco
Estimated Salary
USD 220.000 – USD 340.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are building the infrastructure for the next decade, specifically targeting the pivotal year of 2026. As a Senior AI & Quantum Architect, you will lead the design and implementation of next-generation systems that bridge the gap between artificial intelligence and quantum computing. This is a high-impact role for a visionary engineer ready to shape the future of technology.

You will work at the intersection of theoretical research and practical application, ensuring our platforms are scalable, secure, and ready for the demands of the post-silicon era.

Why Join Us?

  • Work on cutting-edge 2026 roadmap initiatives.
  • Competitive equity package and top-tier compensation.
  • Flexible remote-first policy with a hub in San Francisco.

Responsibilities

  • Architect 2026 Systems: Design the high-level architecture for our flagship AI platform, integrating quantum-ready algorithms and next-gen neural networks.
  • Roadmap Leadership: Translate business goals into technical strategies for the 2026 fiscal year and beyond.
  • Technical Oversight: Lead a team of expert engineers, conducting code reviews and establishing best practices for distributed systems.
  • Innovation Labs: Prototype emerging technologies (e.g., neuromorphic computing, edge AI) to solve complex scalability challenges.
  • Stakeholder Communication: Present complex technical concepts to executive leadership and non-technical stakeholders with clarity and precision.

Qualifications

  • Education: Master’s or PhD in Computer Science, Physics, or a related field.
  • Experience: 8+ years of software engineering experience, with at least 3 years in a senior architectural role.
  • Core Tech: Deep proficiency in Python, C++, and Rust; experience with quantum computing frameworks (e.g., Qiskit, Cirq) is highly preferred.
  • AI Expertise: Strong background in Machine Learning, Deep Learning, and Large Language Models (LLMs).
  • Leadership: Proven track record of managing high-performing engineering teams.
  • Problem Solving: Ability to navigate ambiguity and drive technical decisions in a rapidly evolving environment.

Required Skills

AI Quantum Computing Python C++ Rust Machine Learning System Architecture Leadership Deep Learning Python

Ready to Take This Challenge?

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