Job Description
We are at the forefront of the next technological revolution, building the infrastructure for 2026 and beyond. Horizon Nexus is seeking a visionary Quantum AI Research Engineer to bridge the gap between classical machine learning and next-generation quantum computing architectures.
In this role, you will not just use existing tools; you will help define them. You will be responsible for developing hybrid algorithms that leverage quantum supremacy to solve complex optimization problems currently deemed unsolvable by classical supercomputers. If you are passionate about the future of intelligence and possess the drive to push the boundaries of what is possible, we want to meet you.
Why Join Us?
- Work on cutting-edge technology that will define the industry.
- Competitive compensation and equity package.
- Flexible remote-first culture with a hub in San Francisco.
Apply today to shape the future of AI.
Responsibilities
- Research and design novel quantum algorithms tailored for AI/ML applications.
- Develop and optimize hybrid quantum-classical machine learning models.
- Collaborate with theoretical physicists to translate physical models into code.
- Build simulation environments to test quantum stability and error correction.
- Mentor junior researchers and contribute to the technical roadmap for 2026.
Qualifications
- PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field.
- Strong proficiency in Python, C++, and quantum software stacks (Qiskit, Cirq, or PennyLane).
- Deep understanding of linear algebra, probability, and optimization theory.
- Experience with cloud-based quantum computing platforms (IBM Quantum, AWS Braket).
- Proven track record of publishing in top-tier AI or Physics conferences (NeurIPS, ICML, APS).