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Information Technology 🏒 Full Time ⭐️ Verified

Head of AI Infrastructure (2026 Vision)

Nexus Future Systems
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the digital reality of 2026? Nexus Future Systems is looking for a visionary Head of AI Infrastructure to lead our next-generation computing initiatives. We are building the foundation for the post-silicon era, where artificial intelligence and quantum computing converge to solve humanity's most complex challenges.

In this pivotal role, you will oversee the development of our proprietary neural cloud, ensuring scalability, security, and ethical alignment. This is a rare opportunity to shape the trajectory of AI technology just as it enters its next evolutionary phase.

Responsibilities

  • Architect and deploy exascale AI infrastructure optimized for 2026 computing standards.
  • Lead the integration of neuromorphic computing paradigms into existing deep learning workflows.
  • Define the technical roadmap for autonomous agent ecosystems and generative AI deployment.
  • Establish and enforce robust security protocols for edge computing and decentralized networks.
  • Mentor senior engineering teams to foster a culture of innovation and rapid prototyping.
  • Collaborate with C-suite executives to align technical capabilities with long-term business goals.
  • Conduct rigorous testing of predictive models in simulated real-world environments.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or Computational Physics.
  • 12+ years of experience in software architecture, with 5+ years in high-scale AI infrastructure.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed systems (Kubernetes, Docker).
  • Proven track record of leading cross-functional teams in a high-pressure, fast-paced environment.
  • Experience with quantum computing libraries (Qiskit, Cirq) and post-quantum cryptography.
  • Strong understanding of LLM optimization, RAG architectures, and vector databases.
  • Exceptional communication skills with the ability to translate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Kubernetes AI Architecture Cloud Computing Quantum Computing Leadership Machine Learning

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