Job Description
Are you ready to define the technological landscape of 2026? 2026 Technologies is pioneering the next frontier of computing, merging classical machine learning with quantum mechanics to solve humanity's most complex problems. We are looking for a visionary Senior Quantum AI Architect to lead our research division.
Our Mission
We are building the operating system for the future. Our team is dedicated to creating scalable, fault-tolerant quantum algorithms that will revolutionize drug discovery, finance, and cryptography. If you are passionate about the intersection of theoretical physics and practical software engineering, this is your opportunity to lead from the front.
What You Will Do
As a Senior Architect, you will not just write code; you will architect the future. You will be responsible for the end-to-end lifecycle of our quantum AI systems, ensuring they are robust, efficient, and ready for deployment on next-generation hardware.
Responsibilities
- Design & Development: Architect and implement complex quantum algorithms and hybrid classical-quantum machine learning models.
- Research Leadership: Lead a team of researchers in exploring new quantum error correction techniques and optimization strategies.
- Hardware Integration: Collaborate with hardware engineers to ensure software scalability across current and emerging quantum processors.
- Prototyping: Build rapid prototypes to validate theoretical concepts before full-scale production deployment.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Documentation: Produce high-level technical documentation and whitepapers for internal stakeholders and the public.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related field.
- Experience: 5+ years of experience in software engineering, with at least 3 years specifically focused on AI/ML and distributed systems.
- Quantum Expertise: Strong proficiency in quantum computing frameworks such as Qiskit, Cirq, or PennyLane.
- Programming: Deep expertise in Python, C++, and Rust.
- Mathematics: Solid understanding of linear algebra, probability theory, and calculus.
- Problem Solving: Ability to tackle ambiguous, undefined problems and derive innovative solutions.