Job Description
About OmniFuture Systems
We are pioneering The 2026 Initiative, a revolutionary leap in predictive artificial intelligence designed to solve the world's most complex logistical and computational challenges. As we prepare for the 2026 rollout, we are seeking elite technical talent to architect the systems of tomorrow.
Why Join Us?
- Work on the cutting edge of Quantum-Classical hybrid computing.
- Competitive equity package and remote-first flexibility.
- Opportunity to define the technical roadmap for the next decade.
Role Overview
The Senior Quantum AI Engineer will be responsible for designing and deploying scalable machine learning models that integrate quantum computing capabilities. You will bridge the gap between theoretical physics and practical software engineering to deliver the next generation of AI solutions.
Responsibilities
- Lead the architectural design of next-generation neural networks optimized for the 2026 release cycle.
- Develop and implement quantum algorithms to enhance predictive modeling accuracy and efficiency.
- Mentor junior engineers and foster a culture of technical excellence and innovation.
- Collaborate with cross-functional teams to integrate AI solutions into legacy infrastructure.
- Conduct rigorous performance testing, security audits, and optimization of proprietary algorithms.
- Stay ahead of industry trends in AI, machine learning, and quantum computing research.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Physics, or a related quantitative field.
- Minimum of 5 years of experience in Machine Learning, Deep Learning, or Quantum Computing.
- Proficiency in Python, C++, and frameworks such as TensorFlow, PyTorch, or Qiskit.
- Experience with cloud infrastructure (AWS, Azure, or Google Cloud) and containerization (Docker, Kubernetes).
- Strong understanding of data structures, algorithms, and computational complexity.
- Excellent communication skills with the ability to translate complex technical concepts.