Job Description
Are you ready to define the technological landscape of 2026 and beyond? Nexus Horizon Corp is seeking a visionary AI & Quantum Systems Architect to spearhead our next-generation computing initiatives. We are building the infrastructure for a future where artificial intelligence and quantum mechanics converge to solve humanity's most complex challenges.
In this pivotal role, you will bridge the gap between theoretical AI research and practical, scalable quantum engineering. You will lead a cross-functional team of data scientists, engineers, and researchers to deploy algorithms that are not only advanced today but are built to scale for the demands of the coming decade. If you are obsessed with pushing the boundaries of what is possible in technology, we want to hear from you.
Why Join Nexus Horizon?
- Work on projects that literally shape the future.
- Competitive compensation package with equity opportunities.
- State-of-the-art lab facilities in the heart of the tech hub.
Responsibilities
- Architect Next-Gen Systems: Design and oversee the development of hybrid quantum-classical AI architectures designed to handle 2026-scale data loads.
- Algorithm Optimization: Develop proprietary algorithms to reduce quantum decoherence and improve machine learning model accuracy.
- Strategic Roadmapping: Define the technical roadmap for AI integration, ensuring our solutions are future-proof for the 2026 technology landscape.
- R&D Leadership: Lead a team of top-tier engineers in researching cutting-edge technologies including neuromorphic computing and edge AI.
- Stakeholder Communication: Translate complex technical concepts into clear, actionable strategies for executive leadership and external partners.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Physics, or a related field with a focus on Quantum Information Science.
- Experience: Minimum of 7-10 years of experience in AI/ML engineering and at least 3 years in quantum computing or high-performance computing environments.
- Technical Skills: Proficiency in Python, C++, TensorFlow, PyTorch, and Qiskit or Cirq.
- Problem Solving: Demonstrated ability to solve complex, multi-variable engineering problems under tight deadlines.
- Innovation: A strong portfolio of published research or proprietary software demonstrating forward-thinking technical capability.