Job Description
We are looking for a visionary Senior AI & Quantum Systems Architect to join FutureScale Systems and help define the technological landscape for 2026 and beyond. As we pioneer next-generation artificial intelligence and quantum computing integration, you will be at the forefront of innovation, designing scalable, secure, and high-performance systems that solve the world's most complex problems.
In this role, you will bridge the gap between theoretical research and practical engineering, leading a team of brilliant minds to build the infrastructure of the future. If you are passionate about pushing the boundaries of what is possible in AI and Quantum technology, we want to hear from you.
Responsibilities
- Lead the architectural design and implementation of advanced AI models and quantum algorithms tailored for the 2026 market.
- Collaborate with data scientists and researchers to optimize neural network performance and reduce computational overhead.
- Design secure, fault-tolerant systems capable of handling massive datasets in distributed environments.
- Define technical roadmaps and best practices for the engineering department, ensuring alignment with company vision.
- Mentor and coach junior engineers, fostering a culture of continuous learning and technical excellence.
- Conduct rigorous code reviews and performance testing to ensure system reliability and scalability.
Qualifications
- Master’s or PhD in Computer Science, Physics, Mathematics, or a related quantitative field.
- 10+ years of experience in software engineering, with at least 5 years in machine learning or AI architecture.
- Deep expertise in Python, C++, and experience with quantum programming frameworks (e.g., Qiskit, Cirq).
- Strong understanding of deep learning architectures (Transformers, GANs) and quantum computing concepts.
- Proven experience with cloud infrastructure (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.