Job Description
Shape the Technological Future of 2026
At Nexus Horizon Labs, we are not just predicting the future; we are engineering it. We are seeking a visionary Senior AI & Quantum Systems Architect to lead our core R&D division. If you are passionate about pushing the boundaries of artificial intelligence and quantum computing, and you want to build the foundational systems that will define the next decade, we want to meet you.
You will be at the forefront of merging neural networks with quantum algorithms to solve problems previously thought impossible. This is a high-impact role for a self-starter who thrives in a fast-paced, innovative environment.
Responsibilities
- Lead Architectural Design: Design and implement scalable AI architectures that integrate classical machine learning with quantum computing paradigms.
- Algorithm Optimization: Develop and optimize deep learning models and quantum circuits for high-performance computing environments.
- Prototype Development: Build cutting-edge prototypes for autonomous systems and predictive analytics engines.
- Team Leadership: Mentor a team of junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- R&D Strategy: Collaborate with cross-functional teams to define the technical roadmap for our 2026 product suite.
- System Integration: Ensure seamless integration of AI modules with legacy systems and cloud infrastructure.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Physics, or a related field (or equivalent practical experience).
- Experience: 7+ years of experience in software engineering, with at least 3 years specifically in AI/ML or Quantum Computing.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and quantum computing frameworks (e.g., Cirq, Qiskit).
- Problem Solving: Strong analytical skills with a proven track record of solving complex, non-linear problems.
- Leadership: Demonstrated ability to lead technical teams and manage project lifecycles from conception to deployment.
- Communication: Excellent written and verbal communication skills, capable of explaining complex technical concepts to non-technical stakeholders.