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Information Technology 🏒 Full Time ⭐️ Verified

Future Systems Architect - 2026 Vision

Apex Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are building the world of tomorrow, today. As we approach the technological inflection point of 2026, Apex Horizon Labs is seeking a visionary Future Systems Architect to lead our next-generation AI and Quantum infrastructure initiatives.

Our mission is to harmonize advanced artificial intelligence with sustainable energy grids. You won't just be writing code; you will be architecting the foundational logic for a smarter, greener future. If you are passionate about pushing the boundaries of what's possible and thrive in a high-velocity, innovative environment, we want to meet you.

Responsibilities

  • Design and implement scalable, fault-tolerant AI architectures capable of processing petabytes of real-time data by 2026.
  • Lead the integration of Quantum Computing algorithms with classical Machine Learning models to solve complex optimization problems.
  • Drive the technical roadmap for our Green-Tech initiatives, ensuring our data centers and AI models meet Net-Zero emission targets.
  • Collaborate with cross-functional teams of quantum physicists, data scientists, and hardware engineers to define system requirements.
  • Mentor senior engineers and foster a culture of continuous innovation and technical excellence.
  • Conduct rigorous code reviews and architectural assessments to ensure system security and performance.

Qualifications

  • Master’s or PhD in Computer Science, Physics, or a related technical field (10+ years of experience strongly preferred).
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Experience with quantum computing frameworks (Qiskit, Cirq) or a strong willingness to rapidly master them.
  • Proven track record of leading large-scale engineering projects from conception to deployment.
  • Strong understanding of cloud infrastructure (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Quantum Computing Distributed Systems Cloud Architecture Data Engineering System Design AI/ML Kubernetes Docker TensorFlow PyTorch AWS

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