Job Description
We are building the operating system for the year 2026. Nexus Horizon Systems is seeking a visionary Senior AI & Quantum Readiness Architect to lead our initiative in bridging classical machine learning with emerging quantum computing paradigms.
In this role, you won't just write code; you will define the architectural standards for a new era of computing. You will work on high-impact projects that require a deep understanding of neural networks, tensor operations, and quantum gate logic.
Join us in shaping the future of data processing in a world where silicon is just the beginning.
Responsibilities
- Design and implement hybrid quantum-classical algorithms optimized for post-silicon architectures.
- Lead the architectural transition of legacy neural networks to 2026-ready infrastructure.
- Collaborate with physicists and software engineers to optimize tensor processing units (TPUs).
- Define best practices for ethical AI governance and quantum security protocols.
- Mentor junior engineers in advanced numerical computing techniques.
- Conduct rigorous testing on noisy intermediate-scale quantum (NISQ) devices.
Qualifications
- Ph.D. in Computer Science, Physics, Applied Mathematics, or a related field.
- 5+ years of experience in Deep Learning frameworks (PyTorch, TensorFlow) and quantum libraries (Qiskit, Cirq).
- Proven track record of deploying scalable machine learning models in production environments.
- Strong proficiency in Python, C++, and CUDA.
- Experience with large-scale data pipelines and distributed computing systems.