Job Description
Join Future Systems Inc. as a Quantum AI Systems Architect and help define the technological landscape of 2026 and beyond. We are a pioneer in merging quantum computing with artificial intelligence to solve humanity's most complex problems. If you are a visionary engineer looking to work on cutting-edge infrastructure, this is your opportunity to lead the charge.
We are seeking a rare talent capable of bridging the gap between abstract quantum mechanics and practical, scalable AI applications. You will be responsible for designing the architectural frameworks that power our next-generation predictive models.
Why Join Us?
- Work on projects that will shape the future of global technology.
- Competitive compensation package with equity options.
- Access to state-of-the-art quantum hardware and research facilities.
- A culture of innovation, autonomy, and continuous learning.
Responsibilities
- Design and implement scalable quantum-classical hybrid algorithms for deep learning models.
- Lead the R&D strategy for integrating quantum error correction into AI workflows.
- Collaborate with cross-functional teams of physicists, data scientists, and software engineers to define technical roadmaps for 2026.
- Optimize neural network architectures to leverage quantum processing units (QPUs) efficiently.
- Mentor junior engineers and establish best practices for quantum software development.
- Evaluate emerging quantum hardware and software stacks to integrate into our cloud ecosystem.
Qualifications
- Master’s or Ph.D. in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Computing.
- 5+ years of professional experience in machine learning, AI, or high-performance computing.
- Hands-on experience with quantum programming frameworks such as Qiskit, Cirq, or PyQuil.
- Proficiency in Python, C++, and CUDA for high-performance parallel computing.
- Strong understanding of linear algebra, probability theory, and statistical mechanics.
- Demonstrated ability to lead technical initiatives and communicate complex concepts to non-technical stakeholders.