Job Description
Shape the Future of 2026 Technology
As we approach the pivotal year of 2026, OmniFuture Systems is seeking visionary engineers to bridge the gap between Artificial Intelligence and Quantum Computing. We are building the foundational infrastructure for a world where neural networks and quantum processors converge seamlessly. This is a rare opportunity to work on cutting-edge projects that will define the next decade of human progress.
Why Join Us?
- Revolutionary Impact: Work on projects that are pushing the boundaries of what is computationally possible.
- World-Class Team: Collaborate with leading experts in AI, cryptography, and physics.
- Future-Ready Culture: We are a remote-first organization focused on the future, offering flexible work arrangements and continuous learning opportunities.
Key Responsibilities
- Architect and implement scalable hybrid quantum-classical algorithms designed for the 2026 computing landscape.
- Design software frameworks that integrate deep learning models with quantum hardware interfaces.
- Optimize existing AI pipelines to leverage quantum parallelism and reduced latency.
- Conduct rigorous research and proof-of-concept testing for emerging quantum computing architectures.
- Collaborate with cross-functional teams to translate complex scientific requirements into robust engineering solutions.
- Mentor junior engineers and contribute to the technical roadmap for next-generation AI systems.
Qualifications
- Master’s or PhD in Computer Science, Physics, Applied Mathematics, or a related technical field.
- 5+ years of professional experience in software engineering, with at least 2 years specifically in AI/ML or Quantum Computing.
- Strong proficiency in Python, C++, and CUDA programming.
- Experience with quantum computing frameworks such as Qiskit, Cirq, or Amazon Braket.
- Deep understanding of machine learning architectures (Transformers, GANs) and their computational limits.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, innovative environment.
Responsibilities
- Architect and implement scalable hybrid quantum-classical algorithms designed for the 2026 computing landscape.
- Design software frameworks that integrate deep learning models with quantum hardware interfaces.
- Optimize existing AI pipelines to leverage quantum parallelism and reduced latency.
- Conduct rigorous research and proof-of-concept testing for emerging quantum computing architectures.
- Collaborate with cross-functional teams to translate complex scientific requirements into robust engineering solutions.
- Mentor junior engineers and contribute to the technical roadmap for next-generation AI systems.
Qualifications
- Master’s or PhD in Computer Science, Physics, Applied Mathematics, or a related technical field.
- 5+ years of professional experience in software engineering, with at least 2 years specifically in AI/ML or Quantum Computing.
- Strong proficiency in Python, C++, and CUDA programming.
- Experience with quantum computing frameworks such as Qiskit, Cirq, or Amazon Braket.
- Deep understanding of machine learning architectures (Transformers, GANs) and their computational limits.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, innovative environment.