Job Description
We are not just building for today; we are architecting the future. As a Future Systems Architect, you will spearhead the development of core technologies designed to define the 2026 landscape. We are looking for visionaries who can bridge the gap between theoretical physics and practical AI implementation.
In this high-impact role, you will oversee the design of next-generation quantum-classical hybrid systems, ensuring our infrastructure scales to meet the demands of a post-silicon era. You will work closely with a world-class team of researchers and engineers to translate theoretical breakthroughs into production-ready solutions that power the next generation of intelligent infrastructure.
If you are passionate about the intersection of quantum computing and artificial intelligence and want to be at the forefront of technological evolution, we want to hear from you.
Responsibilities
- Lead the architectural design of next-generation quantum computing systems and hybrid AI infrastructures.
- Develop and optimize algorithms for high-performance computing environments using Python, C++, and Rust.
- Define the technical roadmap and strategic vision for the 2026 product release cycle.
- Implement robust security protocols and fault-tolerance mechanisms for sensitive data.
- Collaborate with cross-functional R&D teams to integrate cutting-edge machine learning models.
- Mentor junior engineers and foster a culture of continuous innovation and technical excellence.
Qualifications
- Master’s or PhD degree in Computer Science, Physics, Applied Mathematics, or a related technical field.
- 5+ years of experience in systems architecture, specifically within AI, High-Performance Computing (HPC), or Quantum Computing.
- Proficiency in quantum programming frameworks such as Qiskit, Cirq, or PyQuil.
- Strong understanding of neural networks, deep learning, and classical machine learning algorithms.
- Experience with cloud infrastructure (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to diverse stakeholders.