Job Description
Are you ready to shape the technological landscape of 2026 and beyond? Nexus Future Labs is seeking a visionary Advanced AI & Quantum Architect to lead our next-generation infrastructure initiatives. We are building the systems that will define the future of computation, merging the scalability of Artificial Intelligence with the processing power of Quantum Computing.
In this role, you will bridge the gap between theoretical physics and practical software engineering, designing hybrid architectures that are secure, efficient, and scalable. If you are passionate about pushing the boundaries of what is possible and want to work on cutting-edge projects that will stand the test of time, we want to meet you.
Why Join Us?
- Future-Forward Impact: Work on projects that are pioneering the integration of classical and quantum computing paradigms.
- Top-Tier Talent: Collaborate with world-class researchers and engineers in a state-of-the-art facility.
- Competitive Package: Comprehensive benefits, equity packages, and continuous learning opportunities.
Responsibilities
- Design Hybrid Architectures: Create robust system designs that seamlessly integrate classical AI models with quantum processing units (QPUs) for complex problem-solving.
- Algorithm Development: Develop and optimize quantum algorithms specifically tailored for machine learning inference and optimization tasks.
- Roadmap Leadership: Define the technical roadmap for our AI infrastructure, ensuring scalability and resilience in a post-quantum era.
- Cross-Functional Collaboration: Partner with data scientists, physicists, and security experts to translate theoretical research into production-ready software.
- Security & Compliance: Implement post-quantum cryptographic standards to ensure data integrity and privacy in emerging systems.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related field with a focus on AI or Quantum Mechanics.
- Experience: 5+ years of experience in software architecture, with at least 2 years specifically in AI/ML or Quantum Computing.
- Technical Skills: Proficiency in Python, C++, and Java; hands-on experience with quantum computing frameworks such as Qiskit, Cirq, or Azure Quantum.
- Knowledge: Deep understanding of machine learning paradigms (Deep Learning, Reinforcement Learning) and quantum algorithms (QAOA, Grover's Search).
- Problem Solving: Exceptional ability to solve complex, undefined technical problems and design scalable solutions for high-volume data.