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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Systems Architect (2026 Vision)

Nexus 2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
31 Mei 2026
Deadline
31 Mei 2027

Job Description

We are at the precipice of a technological singularity. Nexus 2026 is seeking visionary engineers to build the infrastructure that will define the next era of human-machine collaboration. This is not just a job; it is a mission to architect the future.

As a Senior AI Systems Architect, you will be responsible for designing scalable, fault-tolerant neural networks and integrating next-gen quantum computing protocols into our core infrastructure. You will lead a world-class team of data scientists and engineers to push the boundaries of what is possible in 2026.

Why Join Us?
We offer competitive compensation, equity packages, and the opportunity to work on projects that will change the world. Our culture is built on innovation, transparency, and a relentless pursuit of excellence.

Responsibilities

  • Design and implement scalable AI architectures capable of processing petabyte-scale data streams in real-time.
  • Lead the integration of Generative AI models into production environments with a strict focus on security and ethical AI.
  • Collaborate with cross-functional teams to define technical roadmaps for the 2026 product suite.
  • Conduct rigorous code reviews and mentor junior engineers to maintain the highest engineering standards.
  • Optimize system latency and reduce computational costs through advanced algorithmic efficiency.
  • Stay ahead of the curve on emerging technologies, specifically quantum computing and edge AI.

Qualifications

  • 10+ years of experience in software engineering and machine learning, with a focus on AI/ML infrastructure.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
  • Experience with major cloud platforms (AWS/GCP/Azure) and containerization technologies (Kubernetes/Docker).
  • Strong understanding of quantum computing principles and their application to classical ML problems.
  • Proven track record of leading engineering teams and delivering complex technical projects on time.
  • Master’s degree or PhD in Computer Science, Physics, or a related field.

Required Skills

Python Machine Learning Cloud Architecture Kubernetes Deep Learning TensorFlow Quantum Computing AWS Leadership Distributed Systems

Ready to Take This Challenge?

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