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Lead Architect: Project 2026 - AI & Quantum Systems

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join the Vanguard of Tomorrow.

Apex Future Systems is pioneering the Project 2026 initiative, a cutting-edge initiative aimed at developing next-generation neural architectures and quantum-assisted AI frameworks. We are seeking a visionary Lead Architect to design the core infrastructure that will redefine the boundaries of computational intelligence.

Why this role? You will not just write code; you will architect the future. This is a high-impact opportunity to work at the intersection of deep learning, quantum mechanics, and scalable distributed systems. If you are driven by the challenge of solving complex problems and shaping the technological landscape of 2026 and beyond, we want to hear from you.

Responsibilities

  • Design and implement the core architecture for Project 2026, ensuring scalability, security, and performance.
  • Lead a team of elite engineers in developing proprietary AI models capable of processing petabytes of real-time data.
  • Collaborate with quantum computing researchers to integrate quantum algorithms into classical machine learning pipelines.
  • Establish and enforce best practices for code quality, testing, and CI/CD pipelines within the R&D department.
  • Mentor junior and senior developers, fostering a culture of innovation and technical excellence.
  • Conduct high-level research and prototyping for emerging technologies relevant to the 2026 roadmap.

Qualifications

  • Master’s or PhD in Computer Science, Physics, or a related quantitative field (PhD preferred).
  • 10+ years of experience in software engineering, with at least 5 years in machine learning or AI architecture.
  • Deep expertise in Python, C++, and CUDA programming.
  • Strong understanding of deep learning frameworks (TensorFlow, PyTorch) and distributed systems.
  • Experience with quantum computing libraries (Qiskit, Cirq) is a significant plus.
  • Proven track record of leading technical teams and delivering complex projects on time.
  • Excellent communication skills and the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python C++ CUDA TensorFlow PyTorch Distributed Systems Machine Learning Quantum Computing System Architecture Deep Learning CI/CD

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