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Information Technology 🏒 Full Time ⭐️ Verified

2026 AI Infrastructure Lead

Nexus Horizon
Austin
Estimated Salary
USD 160.000 – USD 230.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are not just building software; we are engineering the future. Nexus Horizon is seeking a visionary 2026 AI Infrastructure Lead to spearhead our breakthrough project: Project Chronos. You will be responsible for architecting the neural networks that will power our autonomous logistics systems and predictive urban planning tools.

In this role, you will bridge the gap between theoretical AI capabilities and tangible, scalable infrastructure. You will work in a high-performance environment that demands innovation, precision, and a forward-thinking mindset. If you are passionate about the technological singularity and want to define the standards for the year 2026, we want to hear from you.

Why Join Nexus Horizon?
- Competitive equity package and top-tier benefits.
- Access to cutting-edge quantum computing resources.
- Work with a team of elite engineers and data scientists.

Responsibilities

  • Architect and implement scalable AI infrastructure using Python, TensorFlow, and PyTorch.
  • Lead the design of high-availability systems capable of processing petabytes of real-time data.
  • Collaborate with cross-functional teams to integrate AI models into production environments.
  • Mentor junior developers and establish coding standards for future project scalability.
  • Conduct rigorous testing and optimization to ensure system resilience and low latency.
  • Research emerging technologies to stay ahead of the curve in AI hardware acceleration.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • Minimum of 5 years of experience in software engineering, specifically within AI/ML infrastructure.
  • Deep expertise in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Strong proficiency in programming languages such as Python, C++, or Rust.
  • Proven track record of deploying large-scale machine learning models in production.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch Kubernetes AWS Cloud Architecture Machine Learning Deep Learning

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