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Future-Ready AI & Quantum Architect (Class of 2026)

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to architect the systems that will define the technological landscape of 2026 and beyond? Apex Future Systems is seeking a visionary Future-Ready AI & Quantum Architect to lead our R&D division. In this role, you will bridge the gap between theoretical AI breakthroughs and practical, scalable enterprise solutions.

We are not just building software for today; we are engineering the infrastructure for tomorrow. If you possess a deep understanding of neural networks, quantum algorithms, and scalable cloud architecture, we want to hear from you.

Responsibilities

  • Architect 2026-Ready Infrastructures: Design and implement scalable, fault-tolerant systems capable of handling quantum computing workloads and advanced AI models.
  • Lead R&D Initiatives: Spearhead research into emerging technologies, specifically focusing on Generative AI, Neuro-symbolic AI, and Quantum Machine Learning.
  • Optimize Performance: Continuously analyze system bottlenecks and implement high-performance computing solutions to ensure sub-millisecond latency.
  • Cross-Functional Collaboration: Work closely with product managers, data scientists, and security engineers to translate complex technical requirements into robust software solutions.
  • Future-Proof Development: Implement development practices that ensure longevity and adaptability of codebases in rapidly evolving tech environments.

Qualifications

  • Education: Master’s or PhD in Computer Science, Physics, or a related field with a focus on Artificial Intelligence or Quantum Mechanics.
  • Experience: Minimum 7+ years of experience in software engineering, with at least 3 years specifically in AI/ML or High-Performance Computing.
  • Technical Stack: Proficiency in Python, C++, and CUDA; experience with frameworks like TensorFlow, PyTorch, or Qiskit.
  • Problem Solving: Exceptional ability to solve complex, ambiguous problems with elegant, scalable solutions.
  • Leadership: Proven track record of leading technical teams and driving innovation from concept to deployment.

Required Skills

Python TensorFlow PyTorch Quantum Computing Machine Learning High-Performance Computing Cloud Architecture C++ CUDA

Ready to Take This Challenge?

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