Job Description
Join the vanguard of technological innovation. Nexus Horizon Labs is seeking a visionary Senior AI & Quantum Systems Engineer to lead the architecture of next-generation cognitive systems designed for the 2026 era.
We are not just building software; we are engineering the future of human-machine interaction. In this role, you will bridge the gap between classical machine learning and quantum processing to solve complex, unsolvable problems today for the world of tomorrow.
You will work in a dynamic, high-performance environment with access to state-of-the-art quantum hardware and massive datasets. If you are passionate about pushing the boundaries of what is possible in AI, this is your opportunity to shape the landscape of 2026.
Responsibilities
- Architect and design scalable neural network architectures optimized for hybrid classical-quantum computing environments.
- Lead the research and implementation of advanced Natural Language Processing (NLP) models capable of real-time semantic reasoning.
- Develop and optimize low-latency algorithms for autonomous decision-making systems in critical infrastructure.
- Collaborate with cross-functional teams to integrate AI ethics frameworks into core system design.
- Mentor junior engineers and researchers, fostering a culture of continuous learning and innovation.
- Conduct rigorous testing and validation of quantum algorithms to ensure stability and error correction.
Qualifications
- PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on AI/Quantum.
- Minimum of 5 years of professional experience in machine learning, deep learning, or quantum computing.
- Proficiency in programming languages such as Python, C++, and R, with specific experience in frameworks like TensorFlow, PyTorch, or Qiskit.
- Strong understanding of linear algebra, probability theory, and statistical analysis.
- Proven track record of leading complex technical projects from conception to deployment.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.