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Senior AI & Quantum Architect (2026 Roadmap)

FutureScale Inc.
San Francisco
Estimated Salary
USD 175.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to define the technological landscape of the future? FutureScale Inc. is seeking a visionary Senior AI & Quantum Architect to lead our 2026 strategic roadmap. We are building the infrastructure that will power the next generation of intelligent systems, and we need a leader who can bridge the gap between cutting-edge quantum computing and practical, scalable AI applications.

In this high-impact role, you will not just implement existing technologies; you will architect the solutions for tomorrow. You will work alongside world-class engineers and researchers to pioneer advancements in Generative AI, Quantum Machine Learning, and High-Performance Computing. If you are passionate about the future of technology and want to leave a legacy in the 2026 era, we want to hear from you.

Why Join Us?

  • Shape the Future: Directly influence our 2026 product roadmap and technical vision.
  • Elite Team: Collaborate with industry leaders in AI and Quantum computing.
  • Generous Compensation: Competitive salary and equity package.
  • Remote-First Culture: Flexible work environment with global collaboration.

Responsibilities

  • Architect Next-Gen Systems: Design and implement scalable, fault-tolerant architectures integrating Quantum Computing resources with classical AI workloads.
  • Lead R&D Initiatives: Spearhead research into novel algorithms and hardware-software co-designs for 2026-era performance benchmarks.
  • Technical Strategy: Define the technical strategy for our 2026 roadmap, identifying emerging technologies like Neuromorphic Computing and Edge AI.
  • Team Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Cross-Functional Collaboration: Work closely with product managers and business stakeholders to translate complex technical requirements into actionable engineering plans.
  • Performance Optimization: Oversee the optimization of deep learning models for quantum hardware environments.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on AI or Quantum Mechanics.
  • Experience: 10+ years of experience in software engineering, with at least 5 years in a senior leadership or architecture role.
  • Tech Stack: Deep expertise in Python, C++, CUDA, and modern AI frameworks (PyTorch, TensorFlow). Experience with quantum computing libraries (Qiskit, Cirq) is highly preferred.
  • Strategic Vision: Proven track record of identifying emerging tech trends and integrating them into successful product roadmaps.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
  • Problem Solving: Demonstrated ability to solve complex, ambiguous problems in high-performance computing environments.

Required Skills

AI Quantum Computing Machine Learning Python C++ CUDA Cloud Architecture System Design Deep Learning Leadership R&D

Ready to Take This Challenge?

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