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Senior AI Infrastructure Architect (2026 Vision)

Orbital Systems Inc.
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 define the technological landscape of the future?


Orbital Systems Inc. is pioneering the frontier of next-generation artificial intelligence. We are seeking a visionary Senior AI Infrastructure Architect to lead our 2026 roadmap, building the resilient, scalable, and quantum-ready backbone for our global neural networks. If you thrive on complex challenges and want to shape the infrastructure of tomorrow, today is your day.


Why join us?

  • Work on the bleeding edge of AI and quantum computing integration.
  • Competitive equity package and top-tier healthcare benefits.
  • Flexible remote-first culture with headquarters in the heart of San Francisco.

Responsibilities

  • Architect Future-Proof Systems: Design and implement high-availability, distributed AI infrastructure capable of handling exascale data processing for 2026 standards.
  • Optimize Model Lifecycle: Spearhead the development of automated MLOps pipelines to accelerate training and deployment of large language models.
  • Quantum Readiness: Lead the integration of quantum algorithms into classical cloud environments to solve previously unsolvable problems.
  • Security & Compliance: Enforce rigorous security protocols for proprietary data, ensuring compliance with global AI regulations.
  • Team Leadership: Mentor a team of elite engineers, fostering a culture of innovation and technical excellence.

Qualifications

  • Experience: 7+ years of experience in systems architecture, with at least 3 years specifically in AI/ML infrastructure (Python, Go, Rust).
  • Education: BS in Computer Science, Engineering, or a related field; Master’s degree preferred.
  • Technical Mastery: Deep expertise in Kubernetes, Docker, and cloud platforms (AWS/GCP/Azure).
  • AI Proficiency: Hands-on experience with PyTorch, TensorFlow, and Hugging Face ecosystems.
  • Problem Solving: Proven track record of optimizing latency and throughput in high-volume environments.

Required Skills

Python Machine Learning System Architecture Kubernetes Cloud Computing MLOps Deep Learning Rust Go AWS

Ready to Take This Challenge?

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