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Information Technology 🏒 Full Time ⭐️ Verified

Future Systems Architect

Chronos Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
7 Juli 2026
Deadline
7 Jul 2027

Job Description

Join the Visionaries of Tomorrow

Chronos Dynamics is pioneering the infrastructure for the year 2026 and beyond. We are seeking a highly skilled Future Systems Architect to design the backbone of our next-generation AI and quantum computing ecosystem. In this role, you will translate abstract future-state requirements into robust, scalable technical solutions that drive our mission forward.

We are looking for a problem solver who thrives in ambiguity and is passionate about defining what comes next.

Responsibilities

  • Architectural Leadership: Design and oversee the implementation of high-level system architectures for AI-driven automation and quantum-integrated hardware.
  • Technical Strategy: Define the technical roadmap for Project 2026, ensuring alignment with long-term business goals and industry trends.
  • Code & System Optimization: Lead initiatives to improve system latency, throughput, and security protocols for distributed computing environments.
  • Cross-Functional Collaboration: Partner with product managers, data scientists, and engineers to translate complex requirements into actionable technical specifications.
  • Innovation Labs: Research and prototype emerging technologies (e.g., neuromorphic computing, edge AI) to maintain a competitive edge.
  • Talent Development: Mentor senior engineering teams and establish coding standards to foster a culture of excellence.

Qualifications

  • Education: Master’s or PhD in Computer Science, Electrical Engineering, or a related field (PhD preferred).
  • Experience: Minimum of 8+ years of experience in software architecture, systems engineering, or a similar technical leadership role.
  • Technical Stack: Proficiency in Python, C++, Rust, and experience with cloud-native architectures (Kubernetes, AWS, GCP).
  • AI/ML Knowledge: Deep understanding of machine learning pipelines, neural networks, and model deployment strategies.
  • Problem Solving: Proven ability to architect solutions for complex, ambiguous problems with a focus on scalability and reliability.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python C++ Rust System Architecture AI/ML Kubernetes AWS Cloud Computing Quantum Computing Scalability Leadership

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