Job Description
We are building the infrastructure for the year 2026 and beyond. Apex Innovations is seeking a visionary Quantum-Neural Architect to pioneer the intersection of Quantum Computing and Artificial Intelligence. In this role, you will not just use existing tools; you will define the algorithms and architectural patterns that will power the next generation of autonomous systems.
Our team is pushing the boundaries of what is possible, moving from classical silicon to hybrid quantum substrates. You will work in a high-performance, elite research environment with the autonomy to experiment and the support to deploy.
Why Join Us?
We offer a competitive compensation package, equity in a rapidly growing company, and the opportunity to shape the future of technology.
Responsibilities
- Architect Solutions: Design and implement scalable quantum neural networks capable of processing complex, high-dimensional datasets.
- Research & Development: Investigate novel algorithms that bridge the gap between quantum error correction and machine learning inference.
- Hardware Optimization: Tailor software models to leverage the unique topological properties of emerging 2026-era quantum hardware.
- Pilot Programs: Lead the deployment of quantum-enhanced AI pilots in real-world financial and logistics applications.
- Technical Leadership: Mentor a team of junior researchers and PhD candidates, fostering a culture of innovation and precision.
- Publication: Author and present research findings at leading global conferences (NeurIPS, QIP).
Qualifications
- Education: PhD or Master’s degree in Computer Science, Physics, Applied Mathematics, or a related field with a focus on quantum mechanics.
- Experience: 5+ years of professional experience in quantum computing (using Qiskit, Cirq, or PennyLane) and machine learning.
- Technical Proficiency: Deep understanding of linear algebra, probability theory, and tensor calculus; proficiency in Python, C++, and CUDA.
- Research Track Record: A proven history of publishing in peer-reviewed journals or top-tier AI conferences.
- Strategic Vision: Ability to translate theoretical research into practical, commercially viable product features.
- Communication: Excellent verbal and written skills for technical presentations and stakeholder management.