Job Description
Are you ready to engineer the future? Visionary Systems 2026 is seeking a visionary Senior AI & Quantum Systems Engineer to lead the development of next-generation computing architectures. We are not just predicting the trends of 2026; we are building them. In this high-impact role, you will bridge the gap between artificial intelligence and quantum mechanics, creating scalable solutions that will redefine the digital landscape.
Join a team of elite engineers and researchers dedicated to pushing the boundaries of what is possible. We offer competitive compensation, equity options, and a culture that rewards innovation and creativity.
Responsibilities
- Architect and implement advanced quantum machine learning algorithms to solve complex optimization problems.
- Lead a cross-functional team of data scientists, quantum physicists, and software engineers in R&D initiatives.
- Design scalable cloud infrastructure to support high-performance computing workloads.
- Conduct rigorous testing and validation of neural network models in quantum environments.
- Collaborate with stakeholders to translate technical requirements into business-critical AI solutions.
- Stay at the forefront of industry trends, including neuromorphic computing and edge AI.
- Mentor junior engineers and establish best practices for code quality and system architecture.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Physics, or a related quantitative field with 5+ years of industry experience.
- Deep expertise in Python, C++, and quantum programming languages (e.g., Qiskit, Cirq, Q#).
- Proven track record of deploying AI models at scale in production environments.
- Strong understanding of quantum computing principles, error correction, and quantum gates.
- Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.
- Strong communication skills with the ability to explain complex technical concepts to non-technical audiences.