Job Description
Are you ready to engineer the impossible? Nexus Horizon is pioneering the next era of technological singularity. We are seeking a visionary Quantum AI Research Scientist 2026 to lead our R&D division in redefining the boundaries of artificial intelligence and quantum mechanics.
In this pivotal role, you won't just be writing code; you will be architecting the future of computational logic. We are building the infrastructure that will define the technological landscape of the year 2026 and beyond. If you possess an insatiable curiosity and a mastery of cutting-edge physics, we want to meet you.
Why Join Us?
- Work at the bleeding edge of Quantum Computing and Machine Learning.
- Competitive equity package and stock options.
- Flexible remote-first culture with state-of-the-art equipment.
- Opportunity to publish in top-tier journals and conferences.
Join the team that is turning science fiction into reality.
Responsibilities
- Develop and implement advanced quantum algorithms for optimization, machine learning, and cryptography.
- Lead a cross-functional team of physicists, engineers, and data scientists to bridge the gap between theoretical quantum physics and practical AI applications.
- Design and prototype hardware-software co-designs tailored for next-generation quantum processors.
- Analyze complex data sets to identify patterns and develop predictive models using hybrid classical-quantum approaches.
- Stay ahead of industry trends and contribute to intellectual property (IP) through patents and technical white papers.
- Mentor junior researchers and foster a culture of innovation and technical excellence.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Information Science.
- Minimum of 5 years of experience in research and development, preferably within the Quantum Computing or AI sector.
- Proficiency in programming languages such as Python, C++, and experience with quantum programming frameworks (Qiskit, Cirq, or PyQuil).
- Deep understanding of linear algebra, probability theory, and statistical mechanics.
- Proven track record of publishing research papers in peer-reviewed journals.
- Excellent problem-solving skills and the ability to work in a fast-paced, high-pressure environment.