Job Description
Are you ready to architect the future of intelligence? Nexus 2026 Technologies is seeking a visionary Senior Quantum AI Architect to lead the development of next-generation computational systems. In this role, you will bridge the gap between classical machine learning and quantum computing paradigms, creating scalable solutions for complex global challenges. If you are passionate about pushing the boundaries of technology and thrive in a fast-paced, innovative environment, we want to hear from you.
Why Join Us?
- Work on cutting-edge technology that defines the industry of 2026 and beyond.
- Competitive compensation and equity package.
- Flexible remote-first culture with quarterly in-person innovation summits.
We are looking for a thought leader who can translate theoretical research into production-ready software.
Responsibilities
- Design and implement hybrid quantum-classical algorithms to optimize machine learning models.
- Lead the architectural roadmap for integrating quantum processing units (QPUs) into existing AI infrastructure.
- Collaborate with cross-functional teams of physicists, software engineers, and data scientists.
- Conduct research into novel quantum error correction techniques and their application to deep learning.
- Mentor junior engineers and conduct technical workshops on quantum computing fundamentals.
- Ensure system scalability, security, and reliability across distributed quantum networks.
- Stay abreast of the latest advancements in quantum hardware and software libraries.
Qualifications
- Master’s or PhD degree in Computer Science, Physics, or Mathematics with a focus on Quantum Computing.
- Minimum of 5+ years of experience in AI/ML engineering, preferably with a background in quantum computing.
- Expert proficiency in Python, C++, and quantum programming languages (Qiskit, Cirq, or PennyLane).
- Strong understanding of linear algebra, probability theory, and optimization algorithms.
- Experience with cloud platforms (AWS Braket, Azure Quantum) and containerization technologies.
- Demonstrated ability to lead technical projects and communicate complex concepts to diverse stakeholders.
- Passion for ethical AI and responsible innovation in emerging technologies.