Job Description
Are you ready to define the future of computation? Nexus Horizon Labs is launching the **2026 Horizon Initiative**, a top-secret R&D program dedicated to integrating Artificial Intelligence with Quantum Computing architectures. We are seeking a visionary Senior Quantum AI Research Engineer to lead our team in solving the most complex computational problems of the next decade.
In this role, you won't just write code; you will architect the fundamental logic that powers autonomous systems, deep-space navigation, and next-generation predictive modeling. We offer a competitive compensation package, equity in a rapidly scaling unicorn, and the unique opportunity to work on projects that will define the technological landscape of 2026 and beyond.
If you possess an unyielding curiosity and a mastery of high-performance computing, we want to meet you.
In this role, you won't just write code; you will architect the fundamental logic that powers autonomous systems, deep-space navigation, and next-generation predictive modeling. We offer a competitive compensation package, equity in a rapidly scaling unicorn, and the unique opportunity to work on projects that will define the technological landscape of 2026 and beyond.
If you possess an unyielding curiosity and a mastery of high-performance computing, we want to meet you.
Responsibilities
- Lead the research and development of hybrid Quantum-Classical AI algorithms tailored for the 2026 Horizon roadmap.
- Design and optimize neural network architectures to run efficiently on emerging quantum hardware.
- Collaborate with a cross-disciplinary team of physicists, cryptographers, and software engineers to validate theoretical models.
- Mentor junior researchers and contribute to the internal knowledge base on scalable AI systems.
- Publish high-impact research papers and present findings at leading AI and Quantum Computing conferences.
- Identify bottlenecks in current computational models and engineer scalable solutions for future hardware.
Qualifications
- PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related technical field.
- 5+ years of professional experience in AI/ML engineering, Deep Learning, or High-Performance Computing.
- Proficiency in Python, C++, and CUDA programming.
- Familiarity with quantum computing frameworks (e.g., Qiskit, Cirq, or TensorFlow Quantum).
- Strong background in linear algebra, probability theory, and statistical mechanics.
- Experience with cloud infrastructure (AWS/GCP/Azure) and distributed systems.