Job Description
Are you ready to build the future of computing?
Join Aether Dynamics Inc., a leading research firm pioneering the transition to the 2026 computing era. We are seeking a visionary Senior Quantum AI Architect to lead the development of next-generation neural networks that leverage quantum supremacy. In this high-impact role, you will define the architectural blueprint for hybrid quantum-classical systems, ensuring our solutions remain at the forefront of technological innovation.
You will work in a dynamic, elite engineering environment where your expertise will directly shape the infrastructure of tomorrow. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and quantum mechanics, this is your opportunity to lead the charge.
Responsibilities
- Architect Hybrid Systems: Design and implement scalable quantum-classical algorithms that solve complex optimization problems and machine learning tasks.
- Research Leadership: Lead internal R&D initiatives focused on qubit coherence, error correction, and quantum gate optimization for AI inference.
- Infrastructure Integration: Integrate quantum APIs into existing cloud-native infrastructures, ensuring seamless deployment and management.
- Performance Tuning: Analyze quantum circuit execution times and optimize resource allocation to minimize latency in real-time AI applications.
- Technical Mentorship: Mentor a team of junior data scientists and quantum engineers, fostering a culture of continuous learning and innovation.
- Strategic Planning: Define the technical roadmap for quantum adoption within the company, aligning with 2026 industry standards and regulatory requirements.
Qualifications
- Education: Ph.D. in Computer Science, Physics, Mathematics, or a related field; Master’s degree with significant research experience is acceptable.
- Experience: Minimum of 5+ years of experience in Artificial Intelligence, Machine Learning, or High-Performance Computing.
- Technical Skills: Proficiency in quantum computing frameworks (Qiskit, Cirq, or Forest) and programming languages (Python, C++).
- Theoretical Knowledge: Deep understanding of linear algebra, probability theory, and statistical mechanics as applied to quantum mechanics.
- Cloud Expertise: Experience with major cloud providers (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Problem Solving: Demonstrated ability to troubleshoot complex technical challenges and deliver robust, production-ready solutions.