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Future Systems Architect (Class of 2026) - San Francisco

Aether Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to engineer the infrastructure of tomorrow? Aether Dynamics is seeking a visionary Future Systems Architect to lead our initiatives leading up to the pivotal year of 2026. We are not just building software; we are architecting the foundation for a new era of human-machine symbiosis.

In this high-impact role, you will bridge the gap between theoretical AI research and scalable, production-grade infrastructure. You will define the technical roadmap for our next-generation neural networks and autonomous systems. If you have a passion for pushing the boundaries of what is possible and a desire to shape the reality of 2026, we want to meet you.

Why join us?

  • Work on cutting-edge projects that define the future of technology.
  • Competitive compensation and equity packages.
  • Flexible remote-first policy with a hub in San Francisco.

Responsibilities

  • Architect and design scalable distributed systems capable of handling petabyte-scale data for 2026 objectives.
  • Lead the technical strategy for integrating quantum-ready algorithms into existing cloud infrastructures.
  • Collaborate with cross-functional teams to translate high-level business requirements into robust technical specifications.
  • Mentor junior engineers and foster a culture of innovation and continuous learning.
  • Conduct rigorous code reviews and performance optimization to ensure system reliability and speed.
  • Identify potential risks in system architecture and implement mitigation strategies proactively.

Qualifications

  • Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 5 years of experience in systems architecture, with a focus on cloud-native solutions (AWS, Azure, or GCP).
  • Deep expertise in Python, Go, and Rust, with experience in high-concurrency environments.
  • Strong understanding of machine learning operations (MLOps) and data pipeline architecture.
  • Experience with containerization technologies (Docker, Kubernetes) and microservices patterns.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, dynamic startup environment.

Required Skills

Artificial Intelligence Systems Architecture Python Cloud Computing Kubernetes MLOps Quantum Computing Distributed Systems

Ready to Take This Challenge?

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