Job Description
Shape the Future of Computing in 2026.
OmniFuture Technologies is seeking a visionary Senior AI & Quantum Interface Engineer to lead the convergence of classical artificial intelligence and emerging quantum computing architectures. As we prepare for the 2026 technological leap, you will be at the forefront of solving complex computational problems that were previously deemed impossible.
In this high-impact role, you will bridge the gap between quantum hardware capabilities and high-level machine learning models, ensuring our clients remain ahead of the curve in the next decade.
Why Join Us?
- Work on mission-critical projects that define the technological landscape of 2026.
- Competitive compensation package with equity options.
- Access to state-of-the-art quantum processing units.
- Flexible remote-first culture with a hub in the heart of San Francisco.
Responsibilities
- Architect Scalable Solutions: Design and implement hybrid AI models that efficiently interface with quantum processors to solve complex optimization problems.
- Algorithm Optimization: Refine quantum circuit algorithms to minimize error rates and maximize qubit coherence times for production environments.
- Cross-Functional Leadership: Collaborate with physicists and software engineers to translate theoretical quantum mechanics into practical software applications.
- System Integration: Integrate quantum APIs into existing enterprise-grade machine learning pipelines using Python, C++, and Qiskit.
- Research & Development: Stay ahead of industry trends, specifically focusing on quantum error correction and NISQ (Noisy Intermediate-Scale Quantum) device management.
- Code Review & Mentorship: Lead technical workshops for junior engineers and ensure code quality across the quantum engineering team.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, Electrical Engineering, or a related field with a focus on Quantum Mechanics.
- Experience: Minimum 5 years of experience in software engineering, with at least 2 years specifically focused on quantum computing or advanced AI systems.
- Technical Skills: Proficiency in Python (PyTorch, TensorFlow), C++, and quantum programming frameworks such as Qiskit, Cirq, or PennyLane.
- Knowledge: Deep understanding of quantum gates, superposition, entanglement, and quantum error correction protocols.
- Problem Solving: Proven track record of tackling unsolvable problems using novel computational approaches.
- Communication: Exceptional ability to explain complex technical concepts to non-technical stakeholders and cross-functional teams.