Job Description
We are pioneering the next leap in computational intelligence. As a Lead AI & Quantum Hybrid Architect for our 2026 Initiative, you will bridge the gap between contemporary Deep Learning and post-silicon computing paradigms. You won't just be coding; you will be architecting the fundamental logic that drives autonomous decision-making in a quantum-enabled world.
Join a team of visionaries dedicated to solving humanity's most complex problems through advanced algorithmic synthesis.
Responsibilities
- Design and implement hybrid neural architectures that leverage both classical GPU clusters and emerging quantum processors.
- Optimize machine learning models for non-deterministic computing environments to ensure high accuracy and low error rates.
- Lead a team of researchers and engineers in the research and development of proprietary quantum-interfacing APIs.
- Collaborate with hardware engineers to reduce latency in quantum gate operations.
- Define technical roadmaps for the 2026 product release, ensuring scalability and robustness.
Qualifications
- PhD or Master’s degree in Computer Science, Physics, or a related field with a focus on Computational Intelligence.
- Minimum of 5 years of experience in Machine Learning, Deep Learning, or Neural Network engineering.
- Hands-on experience with quantum computing frameworks such as Qiskit, Cirq, or PyQuil.
- Proficiency in Python, CUDA, and C++ for high-performance computing.
- Strong understanding of quantum algorithms, error correction, and quantum cryptography.