Job Description
We are at the precipice of a new era in technology. Nexus Horizon Labs is seeking a visionary Senior AI Architect: Quantum Neural Networks to lead our research into the year 2026. In this role, you will bridge the gap between classical machine learning and quantum computing to create the next generation of cognitive systems.
Join a team of elite engineers and scientists dedicated to solving humanity's most complex problems through advanced computation. If you are passionate about the future of AI and possess a deep understanding of quantum mechanics and neural architecture, we want to hear from you.
Responsibilities
- Design and architect scalable Quantum Neural Network (QNN) models capable of processing petabyte-scale datasets in real-time.
- Develop hybrid algorithms that seamlessly integrate classical deep learning frameworks with emerging quantum processors.
- Lead the research and development of novel quantum gates and error-correcting codes for fault-tolerant computing.
- Collaborate with cross-functional teams to deploy AI solutions across our global infrastructure.
- Mentor junior engineers and PhD researchers, fostering a culture of innovation and technical excellence.
- Define technical roadmaps for quantum AI infrastructure and stay ahead of industry trends.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Computing.
- 10+ years of experience in AI/ML architecture, with at least 3 years specifically in quantum computing or hybrid systems.
- Proficiency in Python, C++, and CUDA programming, along with familiarity with quantum SDKs such as Qiskit, Cirq, or Pennylane.
- Deep understanding of linear algebra, probability theory, and statistical mechanics.
- Experience with large-scale distributed systems and cloud computing platforms (AWS, Azure, GCP).
- Strong leadership skills with a proven track record of delivering high-impact technical projects.