Job Description
Are you ready to define the future of computing?
Nexus Horizon 2026 is pioneering the next generation of artificial intelligence, bridging the gap between classical machine learning and the power of quantum supremacy. We are looking for a visionary Senior Quantum AI Architect to lead our R&D efforts in San Francisco.
In this pivotal role, you won't just write code; you will architect the very fabric of next-gen intelligence. You will work in a high-performance environment where theoretical physics meets practical software engineering to solve problems deemed impossible today.
Why Join Us?
- Work on cutting-edge projects that define the Post-Silicon Era.
- Competitive compensation and equity packages.
- Access to the latest quantum hardware and cloud environments.
What You Will Do:
As our Senior Architect, you will be responsible for designing scalable quantum algorithms and integrating them into our existing neural network frameworks. You will mentor a team of elite engineers and collaborate with leading physicists to push the boundaries of what is possible.
Responsibilities
- Design, develop, and optimize hybrid quantum-classical machine learning algorithms tailored for real-world data sets.
- Architect scalable quantum cloud infrastructure to support large-scale model training.
- Lead technical strategy for quantum integration, ensuring stability and performance across diverse hardware backends.
- Mentor junior engineers and data scientists on quantum computing principles and best practices.
- Conduct rigorous research and prototype development for post-silicon computing architectures.
- Collaborate with cross-functional teams to translate scientific research into commercial applications.
Qualifications
- PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related quantitative field.
- 5+ years of professional experience in machine learning, AI, or high-performance computing.
- Strong proficiency in Python, C++, and quantum programming frameworks (Qiskit, Cirq, or PyQuil).
- Deep understanding of linear algebra, probability theory, and optimization techniques.
- Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Demonstrated ability to lead technical teams and drive project execution from concept to deployment.