Job Description
The Future is Now. Build It.
Aetheria Dynamics is pioneering the Project 2026 initiative, a next-generation neural cloud infrastructure designed to revolutionize how humanity processes information. We are looking for a visionary Senior AI & Quantum Systems Architect to lead the architectural blueprint for our flagship quantum-symbiotic platform.
In this role, you won't just write code; you will define the standards of the digital era. You will bridge the gap between theoretical quantum physics and practical, scalable machine learning applications. If you are ready to leave your mark on the technological landscape of 2026 and beyond, we want to hear from you.
Why Join Us?
- Work on the bleeding edge of Quantum-AI integration with a team of industry disruptors.
- Competitive compensation package with top-tier equity options.
- Flexible remote-first culture with access to world-class research facilities in SF.
What You'll Do
Responsibilities
- Architect and design high-availability, distributed quantum computing systems tailored for AI workloads.
- Lead the technical roadmap for Project 2026, ensuring scalability, security, and interoperability with legacy cloud infrastructure.
- Collaborate with quantum physicists to translate theoretical algorithms into efficient software implementations.
- Establish best practices for code review, CI/CD pipelines, and containerization using Kubernetes and Docker.
- Mentor senior and junior engineers, fostering a culture of innovation and technical excellence.
- Conduct rigorous performance testing and optimization of neural network models running on hybrid quantum hardware.
Qualifications
- PhD or Master’s degree in Computer Science, Physics, or a related field, with a focus on Quantum Mechanics or Machine Learning.
- 10+ years of experience in software engineering, with at least 5 years in a lead architect role.
- Deep expertise in Python, C++, and Rust, with practical experience in quantum programming languages (Qiskit, Cirq, or similar).
- Strong understanding of distributed systems, microservices, and cloud-native architectures (AWS, Google Cloud, or Azure).
- Proven track record of deploying large-scale AI models and managing massive datasets.
- Exceptional problem-solving skills and the ability to thrive in ambiguous, fast-paced environments.