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Principal Architect: 2026 Autonomous Systems

Apex Quantum Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are seeking a visionary Principal Architect to lead the development of our next-generation autonomous systems framework. In this high-impact role, you will define the technical roadmap for the '2026' initiative, integrating cutting-edge neural networks with quantum-ready hardware interfaces.

As a key driver of innovation, you will collaborate with a world-class team of engineers and data scientists to build scalable, secure, and intelligent systems that redefine the boundaries of artificial autonomy.

Why Join Us?
β€’ Competitive compensation and equity package.
β€’ Work on projects that define the future of technology.
β€’ Flexible remote-first culture with premium San Francisco benefits.

Responsibilities

  • Architect and design the core infrastructure for the 2026 autonomous framework, ensuring scalability and security.
  • Lead a cross-functional team of engineers, researchers, and product managers in the R&D phase.
  • Define technical standards and best practices for next-gen neural processing units (NPUs).
  • Conduct feasibility studies and prototype new technologies, including edge computing and federated learning.
  • Translate complex business requirements into robust technical solutions.
  • Drive the migration of legacy systems to the new 2026 architecture.

Qualifications

  • Master’s degree or PhD in Computer Science, Robotics, or a related technical field.
  • 10+ years of experience in software architecture, with at least 5 years in AI/ML systems.
  • Deep expertise in Python, C++, and distributed systems.
  • Experience with large language models (LLMs), transformers, and reinforcement learning.
  • Strong background in cloud infrastructure (AWS, GCP, or Azure) and containerization (Kubernetes, Docker).
  • Proven track record of leading technical teams in a high-growth environment.

Required Skills

Python C++ Machine Learning Deep Learning System Architecture Kubernetes AWS Artificial Intelligence R&D

Ready to Take This Challenge?

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