Job Description
Are you ready to architect the impossible? Nexus Horizon is leading the charge into the post-silicon era.
We are seeking a visionary Senior Quantum Systems Architect to design the infrastructure that will power the world in 2026 and beyond. As we bridge the gap between classical computing and quantum supremacy, you will be the mastermind behind our proprietary quantum error correction protocols and neural-quantum interfaces.
In this role, you won't just write code; you will redefine the fabric of reality itself. Join a team of elite physicists and engineers pushing the boundaries of what is computationally possible.
Responsibilities
- Lead Quantum Architecture: Design and implement scalable quantum circuit architectures for our next-gen processing units, focusing on fault tolerance and error mitigation.
- Hybrid Integration: Develop seamless hybrid cloud solutions that integrate classical AI models with quantum processors to solve complex optimization problems.
- R&D Leadership: Spearhead research initiatives into topological qubits and superconducting circuit stability, translating theoretical physics into deployable code.
- System Validation: Oversee the rigorous testing and validation of quantum algorithms in simulation environments before real-world deployment.
- Cross-Functional Collaboration: Partner with software engineers and data scientists to integrate quantum APIs into existing enterprise software stacks.
- Prototyping: Build and maintain high-fidelity prototypes of future computing systems to validate architectural hypotheses.
Qualifications
- Education: Ph.D. in Physics, Computer Science, or a related field with a focus on Quantum Mechanics or Computational Theory.
- Experience: Minimum of 5-7 years of experience in systems architecture, with a strong background in quantum computing frameworks (e.g., Qiskit, Cirq, or PyQuil).
- Technical Skills: Deep understanding of linear algebra, probability theory, and superposition principles applied to software engineering.
- Programming: Expert proficiency in Python, C++, and CUDA programming.
- Problem Solving: Proven track record of solving complex, ambiguous problems in high-stakes engineering environments.
- Communication: Ability to articulate complex technical concepts to non-technical stakeholders and lead technical white-boarding sessions.