Job Description
Are you ready to architect the digital landscape of 2026?
Chronos Dynamics is at the forefront of the next technological revolution. We are seeking a visionary Lead Quantum AI Architect to lead our strategic initiative for the year 2026. This is a rare opportunity to define the infrastructure that will power the next generation of intelligent systems.
In this role, you will bridge the gap between cutting-edge quantum computing and deep learning models. You will not just use existing tools; you will help define the frameworks and protocols that will be standard in 2026.
Why Join Us?
- Work on projects with a direct impact on the future of humanity.
- Competitive compensation package and equity options.
- Flexible remote-first culture with a premium San Francisco office.
- Access to state-of-the-art quantum hardware and research facilities.
We are looking for a thought leader who thrives in ambiguity and is obsessed with scalability and innovation.
Responsibilities
- Design Next-Gen Infrastructure: Architect scalable, fault-tolerant systems that integrate quantum processors with classical AI workloads for the 2026 roadmap.
- Algorithm Development: Research and implement quantum algorithms that solve complex optimization problems in real-time.
- Team Leadership: Mentor a high-performance team of engineers, researchers, and data scientists in advanced computational techniques.
- Strategic Roadmap: Collaborate with C-level executives to define the technical vision and milestones for our 2026 product release.
- Security & Compliance: Ensure all quantum-encrypted systems adhere to the highest standards of data security and privacy regulations.
- Prototype Engineering: Build and deploy MVPs for quantum-enhanced machine learning models.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related technical field.
- Experience: 8+ years of experience in software architecture, with at least 3 years specifically in AI/ML or Quantum Computing.
- Technical Skills: Proficiency in Python, C++, and experience with quantum programming frameworks (Qiskit, Cirq, or similar).
- Deep Learning: Strong understanding of neural networks, transformers, and large language models (LLMs).
- Leadership: Proven track record of leading cross-functional teams and delivering complex technical projects on time.
- Vision: Ability to anticipate future technological trends and translate them into actionable engineering strategies.