Job Description
We are on the cusp of a technological revolution. As a Lead Quantum AI Architect, you will be instrumental in defining the roadmap for our 2026 Horizon initiative, bridging the gap between classical machine learning and next-generation quantum computing paradigms. You will lead a team of elite engineers to build scalable, fault-tolerant AI systems that operate on the edge of current science.
Why Join Us?
- Impact: Directly influence the architectural foundation of the world's most advanced AI platforms.
- Innovation: Work with state-of-the-art hardware and novel algorithmic frameworks.
- Equity: Competitive equity package reflecting our high-growth trajectory.
Responsibilities
- Architect and deploy scalable quantum algorithms integrated with classical neural networks for 2026 readiness.
- Lead the technical strategy for hybrid quantum-classical computing environments.
- Collaborate with theoretical physicists to translate quantum mechanics concepts into production-ready software.
- Mentor and grow a high-performance team of quantum and AI engineers.
- Identify and mitigate technical risks associated with emerging quantum hardware and noise models.
- Define best practices for quantum data encoding and error correction in AI workflows.
Qualifications
- PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related quantitative field.
- Minimum 5 years of experience in AI/ML engineering, with a specific focus on quantum computing or advanced optimization.
- Proficiency in programming languages such as Python, C++, and quantum software stacks (e.g., Qiskit, Cirq, PennyLane).
- Deep understanding of linear algebra, probability theory, and stochastic processes.
- Proven track record of leading technical teams and delivering complex systems on time.
- Experience with cloud platforms (AWS, Azure) offering quantum computing services is highly desirable.