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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Future Systems Architect | 2026 Strategic Initiative

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

Job Description

We are looking for a visionary Future Systems Architect to spearhead our 2026 strategic initiative. If you are passionate about defining the next generation of artificial intelligence infrastructure and have a track record of solving complex engineering challenges, we want to meet you.

At Nexus Horizon Labs, we are not just building software; we are architecting the future. You will work at the intersection of machine learning, distributed systems, and human-computer interaction to build systems that will define the technological landscape of 2026 and beyond.

Why Join Us?

  • Work on cutting-edge AI infrastructure.
  • Competitive compensation package ($180k - $250k).
  • Flexible remote-first culture with premium San Francisco offices.

Responsibilities

  • Architect and design scalable, high-performance AI systems for the 2026 roadmap.
  • Lead the technical strategy for integrating emerging LLM technologies into core products.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers.
  • Optimize neural network architectures for latency and throughput.
  • Mentor junior engineers and establish coding best practices within the team.
  • Conduct deep-dive technical research to evaluate new hardware and software paradigms.

Qualifications

  • Master’s or PhD in Computer Science, Robotics, or a related technical field.
  • 5+ years of experience in software engineering, with at least 2 years in AI/ML architecture.
  • Proficiency in Python, C++, and deep learning frameworks (TensorFlow, PyTorch).
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Proven experience leading large-scale technical projects or R&D initiatives.

Required Skills

Python Machine Learning System Design Deep Learning TensorFlow PyTorch AWS Kubernetes LLMs AI Architecture

Ready to Take This Challenge?

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