Job Description
We are looking for a visionary Lead Quantum AI Architect to spearhead Project 2026, our groundbreaking initiative to integrate quantum computing with next-generation artificial intelligence. Nexus Horizons is redefining the boundaries of human potential, and you will be at the forefront of this technological revolution.
In this pivotal role, you will bridge the gap between theoretical physics and practical machine learning, designing algorithms that solve complex problems deemed impossible for classical computers. If you are passionate about the future of computation and want to leave a legacy in the field of advanced technology, we want to meet you.
Why Join Us?
- Work on the cutting edge of quantum supremacy.
- Competitive compensation package with equity options.
- Flexible remote-first culture with state-of-the-art equipment.
- Opportunity to shape the roadmap for the year 2026 and beyond.
Responsibilities
Core Responsibilities
- Architectural Design: Develop and deploy scalable quantum neural networks and hybrid AI models capable of processing petabytes of unstructured data in real-time.
- Research & Development: Lead research initiatives in quantum error correction, qubit coherence optimization, and quantum machine learning algorithms.
- Team Leadership: Mentor a diverse team of quantum physicists, software engineers, and data scientists, fostering a culture of innovation and continuous learning.
- Protocol Development: Define the technical standards and protocols for Project 2026, ensuring compatibility with future quantum hardware generations.
- Stakeholder Communication: Translate complex technical concepts into actionable insights for executive leadership and external partners.
- Integration: Oversee the seamless integration of quantum modules into existing cloud infrastructure and legacy systems.
Qualifications
Requirements
- Education: PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Mechanics or AI.
- Experience: Minimum of 7+ years of experience in AI/ML development, with at least 3 years specifically focused on quantum computing or high-performance computing.
- Technical Skills: Proficiency in programming languages such as Python, C++, and Q# (or similar quantum programming frameworks like Qiskit or Cirq).
- Architecture: Demonstrated experience in designing large-scale distributed systems and cloud-native applications.
- Problem Solving: Exceptional ability to troubleshoot complex theoretical and practical engineering challenges.
- Communication: Strong verbal and written communication skills, with the ability to present technical proposals to non-technical audiences.