Job Description
We are on the verge of a technological revolution. At FutureScale Innovations, we are building the infrastructure for the year 2026 and beyond. We are looking for an exceptional AI & Quantum Research Engineer to bridge the gap between classical machine learning and quantum computing architectures.
As a key member of our R&D division, you will pioneer algorithms that leverage quantum superposition to solve complex optimization problems. If you are passionate about the future of computing and want to work with the brightest minds in the industry, we want to hear from you.
Responsibilities
- Research and develop novel quantum algorithms for machine learning applications.
- Design and optimize hybrid quantum-classical neural network architectures.
- Collaborate with cross-functional teams to integrate quantum solutions into cloud-based platforms.
- Conduct rigorous testing and benchmarking of quantum hardware performance.
- Publish findings in top-tier scientific journals and conferences.
- Provide technical mentorship to junior researchers and engineers.
Qualifications
- Ph.D. in Computer Science, Physics, Mathematics, or a related field.
- Proven experience in quantum computing frameworks (e.g., Qiskit, Cirq, PennyLane).
- Strong proficiency in Python and deep learning libraries (TensorFlow, PyTorch).
- Deep understanding of linear algebra, probability theory, and optimization.
- Experience with high-performance computing (HPC) environments.
- Excellent communication skills and a track record of innovation.