Job Description
We are looking for a visionary Principal Quantum AI Architect to lead our research and development division at 2026 Technologies. As we stand on the precipice of a new era in computational intelligence, you will be responsible for designing the algorithms and systems that will define the industry standard for the mid-2020s.
In this role, you will bridge the gap between theoretical quantum mechanics and practical machine learning applications. You will work in a high-performance environment where innovation is not just encouraged but required. If you are passionate about solving the world's most complex problems using next-generation technology, we want to hear from you.
Why Join 2026 Technologies?
- Work with cutting-edge hardware and software stacks.
- Competitive equity package and top-tier benefits.
- Flexible remote and hybrid work options.
Responsibilities
- Design, develop, and optimize quantum algorithms for commercial machine learning applications.
- Lead the architecture of hybrid quantum-classical computing systems to enhance AI model performance.
- Collaborate with cross-functional teams including physicists, data scientists, and software engineers.
- Conduct rigorous testing and validation of quantum hardware integration with cloud infrastructure.
- Mentor junior architects and researchers to foster a culture of technical excellence.
- Stay abreast of the latest advancements in quantum computing, cryptography, and neural networks.
- Define technical roadmaps and ensure scalable deployment of AI solutions.
Qualifications
- Master’s or PhD degree in Computer Science, Physics, Mathematics, or a related field.
- 5+ years of experience in AI/ML architecture and software engineering.
- Proven expertise in quantum computing frameworks such as Qiskit, Cirq, or PyQuil.
- Deep understanding of classical machine learning algorithms and their quantum analogues.
- Strong proficiency in Python, C++, and distributed systems.
- Excellent communication skills with the ability to translate complex technical concepts for diverse audiences.
- Experience leading engineering teams in a fast-paced startup or R&D environment.