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Planetary Scale AI Architect (2026 Vision)

Nebula Core Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to build the infrastructure of tomorrow? Nebula Core Technologies is seeking a visionary Planetary Scale AI Architect to pioneer the systems that will define the 2026 era of computing.

We are not just building software; we are architecting the fabric of a hyper-connected, AI-native future. In this role, you will lead the design of distributed neural networks capable of processing exascale data across planetary nodes. If you are obsessed with scalability, latency, and the next frontier of machine learning, we want to hear from you.

Why Join Nebula Core?
- Work on projects that literally shape the future.
- Competitive equity package and top-tier compensation.
- Collaborate with world-class researchers and engineers.

Responsibilities

  • Design and implement distributed AI infrastructure capable of scaling to exascale computing loads by 2026.
  • Optimize neural network training pipelines and inference engines for zero-latency global deployment.
  • Architect fault-tolerant systems that ensure 99.999% uptime across edge and cloud environments.
  • Lead architectural reviews and mentor a team of elite engineers in next-gen programming paradigms.
  • Integrate quantum-ready protocols into existing cloud-native architectures.
  • Collaborate with cross-functional teams to translate futuristic concepts into deployable code.

Qualifications

  • 10+ years of experience in distributed systems, cloud architecture, or high-performance computing.
  • Proven expertise in machine learning frameworks (PyTorch, TensorFlow, JAX) and GPU optimization.
  • Deep knowledge of Rust, Go, or C++ for systems-level programming.
  • Master’s degree or PhD in Computer Science, Physics, or a related field.
  • Experience with Kubernetes, Docker, and container orchestration at massive scale.
  • Strong understanding of AI safety, alignment, and ethical implementation of AGI technologies.

Required Skills

Distributed Systems Machine Learning Cloud Architecture Rust Python Kubernetes GPU Optimization Quantum Computing High-Performance Computing

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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